Patent Publication Number: US-2023139739-A1

Title: Ar enhanced gameplay with a personal mobility system

Description:
TECHNICAL FIELD 
     The present disclosure relates generally to personal mobility systems (a “PM system”) and wearable devices with displays for augmented or virtual reality (an “AR wearable device”). More particularly, to interactions between a personal mobility device and a head-worn augmented reality device. 
     BACKGROUND 
     An increasing focus on the development of alternative modes of transportation, in addition to ride sharing platforms has led to an explosion in the diversity and availability of personal mobility systems. A PM system encompasses all modes of powered personal transportation capable of transporting a user (and sometimes a passenger) from one place to another. Including, but not limited to, powered scooters, bicycles, skateboards, unicycles, kayaks, paddleboards, and surfboards. Electrically-powered bicycles and scooters are sometimes referred to as e-bikes and e-scooters respectively. Powered personal transportation may also include cars, trucks, motorcycles, and boats. In addition to the physical dexterity and agility required to operate them, e-scooters, e-bikes, and self-balancing electric scooters (e.g., Segway® Ninebot) present operational challenges and safety risks that require a higher level of user concentration and ability in order to operate safely. The meteoric rise in the density of PM systems in urban environments coupled with a general lack of user training and a highly, cluttered and dynamic operating environment has led to a sharp rise in accidents and hospitalizations. 
     Traditionally, PM systems are designed with few controls, almost no performance feedback indicators or extremely limited in such capabilities (e.g., LED or LCD battery or speed indicators), and no obstacle detection or avoidance systems. Because of the bare-bones nature of PM systems it may not be feasible or safe to incorporate additional controls or performance indicators. 
     AR wearable devices, on the other hand, may be implemented with transparent or semi-transparent displays through which the user can view the surrounding environment. Such devices enable a user to see through the transparent or semi-transparent display to view the surrounding physical environment, and to also see objects (e.g., virtual objects such as 3D renderings, images, video, text, and so forth) that are generated for display to appear as a part of, and/or overlaid upon, the physical environment. This is typically referred to as “augmented reality.” 
     AR wearable devices may completely occlude a user&#39;s visual field and display a virtual environment through which a user may move or be moved. This is typically referred to as “virtual reality.” As used herein, the term “augmented reality” or “AR” refers to both augmented reality and virtual reality as traditionally understood, unless the context indicates otherwise. 
    
    
     
       BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS 
       In the drawings, which are not necessarily drawn to scale, like numerals may describe similar components in different views. To easily identify the discussion of any particular element or act, the most significant digit or digits in the reference number refer to the figure number in which that element is first introduced. Some nonlimiting examples are illustrated in the figures of the accompanying drawings in which: 
         FIG.  1    is a perspective view of a wearable device, in accordance with some examples. 
         FIG.  2    illustrates a further view of the augmented reality wearable device of  FIG.  1    from the perspective of the user, in accordance with some examples. 
         FIG.  3    is a side view of a personal mobility system, in accordance with some examples. 
         FIG.  4    illustrates a network environment suitable for operating an AR wearable device and a personal mobility system according to some examples. 
         FIG.  5    is a view of an outdoor environment that has been enhanced with AR elements that are displayed on the displays of the glasses of  FIG.  1    according to one example. 
         FIG.  6    is a view of the handlebars of a scooter in an outdoor environment, in which the scooter has been enhanced with AR elements according to one example. 
         FIG.  7    is a view of an outdoor environment that has been enhanced with AR elements that are displayed on the displays of the glasses of  FIG.  1    according to an example. 
         FIG.  8    is a view of an outdoor environment that has been enhanced with AR elements that are displayed on the displays of the glasses of  FIG.  1    according to another example. 
         FIG.  9    is a view of an outdoor environment that has been enhanced with AR elements that are displayed on the displays of the glasses of  FIG.  1    according to another example. 
         FIG.  10    illustrates a user interface  1002  for an environment building mode according to one example. 
         FIG.  11    illustrates the user interface of  FIG.  10    in which a course has or is being created. 
         FIG.  12    illustrates the user interface of  FIG.  10    in which virtual objects  414  are being placed on a course that is being or has been defined as described with reference to  FIG.  11   . 
         FIG.  13    is a flowchart showing operation of the network environment of  FIG.  4   , according to one example. 
         FIG.  14    is a flowchart showing course generation, according to one example. 
         FIG.  15    is a block diagram illustrating a networked device  1502  including details of the glasses  100  and scooter  300 , in accordance with some examples. 
         FIG.  16    is block diagram showing a software architecture within which the present disclosure may be implemented, in accordance with some examples. 
         FIG.  17    is a diagrammatic representation of a machine, in the form of a computer system within which a set of instructions may be executed for causing the machine to perform any one or more of the methodologies discussed, in accordance with some examples. 
     
    
    
     DETAILED DESCRIPTION 
     The description that follows describes systems, methods, techniques, instruction sequences, and computing machine program products that illustrate examples of the present subject matter. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide an understanding of various examples of the present subject matter. It will be evident, however, to those skilled in the art, that examples of the present subject matter may be practiced without some or other of these specific details. Examples merely typify possible variations. Unless explicitly stated otherwise, structures (e.g., structural components, such as modules) are optional and may be combined or subdivided, and operations (e.g., in a procedure, algorithm, or other function) may vary in sequence or be combined or subdivided. 
     Integration of AR wearable devices with PM systems can improve the user experience and mitigate safety risks by lessening the cognitive burden placed on the user. AR wearable devices can not only centralize and display telemetry data and navigation information into the user&#39;s field of view but can detect physical obstacles or interact with virtual objects to modulate the performance of the PM system. The AR wearable device can detect and highlight obstacles, traffic control devices, and hazards to warn the user to their presence. The AR wearable device can also use sensors contained within the PM system to further inform or modify the information being perceived by the user and the performance characteristics of the PM system. 
     In some examples, participants can ride on a course in the real world that has a number of virtual objects located in it, and that can affect the performance of a particular participant&#39;s PM system when that participant&#39;s PM system intersects with or comes within a certain distance of the virtual object&#39;s location in the real world. The virtual objects are displayed to participants on their AR wearable devices as if they were present at their specified locations. Intersection with or proximity to a virtual object can boost the performance of the corresponding PM system (in the case of a “power up”), can reduce the performance of the corresponding PM system (in the case of a “power down”) or can provide other effects or consequences. Participants can thus compete against each other, gaining real-world advantages or being disadvantaged based on interaction with virtual objects at locations in the real world. 
     PM systems, such as powered scooters and e-bikes, typically include a power source (such as a battery), a propulsion source (such as a motor or engine), user controls, an independent braking system, and a management system. Some PM systems may also include radio communications systems (such as cellular, Wi-Fi®, and Bluetooth® transponders) and location systems (e.g., GPS). PM systems described herein may further include sensing technologies such as cameras, sonar sensors, radar sensors, laser sensors, lidar sensors, hear rate sensors, and inertial measurement units (“IMUs,” such as accelerometers, gyroscopes, and magnetometers). 
     Some PM systems include a braking system that may be connected to the management system and is intended to safely stop the PM system during emergencies, in addition to braking during normal operation. The braking system may also be part of a regenerative braking system involving the propulsion source, the management system, and the power source. 
     Typical operation of a PM system involves transmitting inputs effected by the user on the user controls to the management system; the management system will then control the delivery of power from the power source to the propulsion source to achieve the desired action by the user. 
     On the other hand, AR wearable devices, such as AR spectacles or AR glasses, include a transparent or semi-transparent display that enables a user to see through the transparent or semi-transparent display to view the surrounding environment. Additional information or objects (e.g., virtual objects such as 3D renderings, images, video, text, and so forth) are shown on the display and appear as a part of, and/or overlaid upon, the surrounding environment to provide an augmented reality experience for the user. The display may for example include a waveguide that receives a light beam from a projector but any appropriate display for presenting augmented or virtual content to the wearer may be used. Like PM systems, AR wearable devices may also include radio communications systems (such as cellular, Wi-Fi®, and Bluetooth® transponders) and location systems (e.g., GPS), camera, and MU sensors. 
     As referred to herein, the phrases “augmented reality experience” includes or refers to various image processing operations corresponding to an image modification, filter, media overlay, transformation, and the like, as described further herein. In some examples, these image processing operations provide an interactive experience of a real-world environment, where objects, surfaces, backgrounds, lighting etc. in the real world are enhanced by computer-generated perceptual information. In this context an “augmented reality effect” comprises the collection of data, parameters, and other assets needed to apply a selected augmented reality experience to an image or a video feed. In some examples, augmented reality effects are provided by Snap, Inc. under the registered trademark LENSES. 
     The rendering of the virtual objects by the AR wearable head-worn device systems may be based on a position of the AR wearable device relative to a physical object or relative to a fixed frame of reference (external to the AR wearable device) so that the virtual object correctly appears in the display. As an example, the AR wearable device may render a virtual object associated with a physical object such that the virtual object may be perceived by the user as appearing to be aligned with the physical object. In another example, graphics (e.g., graphical elements containing information, instructions, and guides) appear to be attached to or overlaying a physical object of interest. To achieve this, the AR wearable device detects the physical object and tracks a pose of the AR wearable device relative to a position of the physical object. A pose identifies a position and orientation of the AR wearable device relative to a frame of reference or relative to another object. 
     User interaction with the AR wearable device may in some cases be provided by voice commands, by input to an associated device such as a smartphone, by gestures detected by the AR wearable device&#39;s cameras, or by a touchpad provided on the AR wearable device, which may be used to provide x-y touch and tap input to the AR wearable device. 
     In a PM system and AR wearable device integration, the PM system and the AR wearable device are in communication with each other. Each, individually, or through each other, the PM system and the AR wearable device may also be in communication with other devices (such as mobile phones) or with networks containing other devices (such as servers). The PM system may provide the AR wearable device with telemetry information such as speed, acceleration, position of the controls, user position and pose, and battery level. The PM system may also provide information from a camera and other sensors. The AR wearable device, in turn, may provide performance related commands (e.g., limiting or modulating top speed, acceleration, braking power) or non-performance related commands (e.g., turning lights on and off, honking). The AR wearable device may also provide the PM system with telemetry gathered solely by the AR wearable device (e.g., speed calculated by the GI&#39;S, position and pose of the user). Similarly, the commands provided by the AR wearable device may be informed by the telemetry and sensor data received from the PM system. Still further, commands provided by the AR wearable device may only informed by information gathered by the AR wearable device. 
     In some examples, an augmented reality effect includes augmented reality content configured to modify or transform image data presented within a graphic user interface (“GUI”) of the AR wearable device in some way. For example, complex additions or transformations to the appearance of the environment in the AR wearable device&#39;s field of view may be performed using AR effect data, such as highlighting, animating, or transforming traffic control signals, roads, buildings, and vehicles; adding enhancements to landmarks in a scene being viewed on an AR wearable device; or many numerous other such transformations. This includes both real-time modifications that modify an image as it is captured using a camera associated with the AR wearable device or some other device (e.g., a PM system) in communication with the AR wearable device, which is then displayed by the AR wearable device with the AR effect modifications, as well as modifications to stored content, such as video clips in a gallery that may be modified using AR effects. Similarly, real-time video capture may be used with an AR effect to show to a user of an AR wearable device how video images currently being captured by sensors of a device would modify the captured data. Such data may simply be displayed on the screen and not stored in memory, the content captured by the device sensors may be recorded and stored in memory with or without the AR effect modifications (or both), or the content captured by the device sensors may be transmitted, with the AR effect modification, over the network to a server or another device. 
     AR effects and associated systems and modules for modifying content using AR effects may thus involve detection of objects (e.g., faces, hands, bodies, cats, dogs, surfaces, objects, etc.), tracking of such objects as they leave, enter, and move around the field of view in video frames, and the modification or transformation of such objects as they are tracked. In various examples, different methods for achieving such transformations may be used. Some examples involve generating a 3D mesh model of the object or objects and using transformations and animated textures of the model within the video to achieve the transformation. In other examples, tracking of points on an object is used to place an image or texture, which may be two dimensional or three dimensional, at the tracked position. In still further examples, neural network analysis of video frames is used to place images, models, or textures in content (e.g., images or frames of video). AR effect data thus may include both the images, models, and textures used to create transformations in content, as well as additional modeling and analysis information needed to achieve such transformations with object detection, tracking, and placement. 
     In some examples, provided is a method of providing interactive personal mobility systems, performed by one or more processors. The method includes receiving a map of a course including a plurality of virtual objects, the map corresponding to a location in the real world and defining a track along which first and second participants can ride on respective first and second personal mobility systems, displaying a first virtual object on a first augmented reality wearable device corresponding to the first participant, the first virtual object being located in a position in a field of view of the first augmented reality device corresponding to a position in the real world on the course, displaying the first virtual object on a second augmented reality wearable device corresponding to the second participant, the first virtual object being located in a position in a field of view of the second augmented reality device corresponding to the position in the real world on the course, detecting proximity of the first personal mobility system or of the first participant with the position of the first virtual object in the real world, and in response to the detection of proximity, modifying a performance characteristic of the first personal mobility system. 
     The modification of the performance characteristic may include an alteration of a maximum speed or maximum power of the first personal mobility system, or a score value for the first participant may be incremented or decremented. In response to the detection of proximity, the virtual object may be removed from the map of the course for the second participant. 
     The method may also further include determining the position of the first and second participants on the course, and displaying first and second status information on the first and second augmented reality wearable devices respectively, based on the positions of the first and second participants on the course. The first and second status information may include elapsed times and leaderboard information. 
     The position in the real world may be in a location in a frame of reference in an environment in which the personal mobility system is located. 
     The method may also further include, in response to the detection of proximity, transferring the first virtual object from the location in the frame of reference in the environment to a location in a frame of reference fixed to at least part of the first personal mobility system, and delaying modifying the performance characteristic of the first personal mobility system until an intersection of the first participant with the location in the frame of reference fixed to at least part of the first personal mobility system is detected. 
     Also provided is a computing apparatus for enabling interactive personal mobility systems comprising a processor; and a memory storing instructions that, when executed by the processor, configure the apparatus to perform the methods described above. 
     Also provided is a non-transitory computer-readable storage medium, the computer-readable storage medium including instructions that when executed by a computer, cause the computer to perform methods described above: 
     Other technical features may be readily apparent to one skilled in the art from the following figures, descriptions, and claims. 
       FIG.  1    is perspective view of an AR wearable device (e.g., glasses  100 ), in accordance with some examples. The glasses  100  can include a frame  102  made from any suitable material such as plastic or metal, including any suitable shape memory alloy. In one or more examples, the frame  102  includes a front piece  104  including a first or left optical element holder  114  (e.g., a display or lens holder) and a second or right optical element holder  120  connected by a bridge  110 . The front piece  104  additionally includes a left end portion  112  and a right end portion  118 . A first or left optical element  116  and a second or right optical element  122  can be provided within respective left optical element holder  114  and right optical element holder  120 , Each of the left optical element  116  and the right optical element  122  can be a lens, a display, a display assembly, or a combination of the foregoing. Any of the display assemblies disclosed herein can be provided in the glasses  100 . 
     The frame  102  additionally includes a left temple piece  106  (i.e., a left arm) and a right temple piece  108  (i.e., a right arm) coupled to the respective left end portion  112  and right end portion  118  of the front piece  104  by any suitable means such as a hinge (not shown), so as to be coupled to the front piece  104 , or rigidly or fixably secured to the front piece  104  so as to be integral with the front piece  104 . In one or more implementations, each of the left temple piece  106  and the right temple piece  108  includes a first arm portion  124  that is coupled to the respective left end portion  112  and right end portion  118  of the front piece  104  and any suitable second arm portion  126  for coupling to the ear of the user. In one example, the front piece  104  can be formed from a single piece of material, so as to have a unitary or integral construction. In one example, such as illustrated in  FIG.  1   , the entire frame  102  can be formed from a single piece of material so as to have a unitary or integral construction. 
     The glasses  100  can include a computing device, such as a computer  128 , which can be of any suitable type so as to be carried by the frame  102  and, in one or more examples, of a suitable size and shape, so as to be at least partially disposed in one of the left temple piece  106  and the right temple piece  108 . In one or more examples, as illustrated in  FIG.  1   , the computer  128  is sized and shaped similar to the size and shape of the right temple piece  108  (or the left temple piece  106 ) and is thus disposed almost entirely if not entirely within the structure and confines of such right temple piece  108 . In one or more examples, the computer  128  is disposed in both of the right temple piece  108  and the left temple piece  106 . The computer  128  can include one or more processors with memory, wireless communication circuitry, sensors and associated circuitry, and a power source. As discussed below, the computer  128  comprises low-power circuitry, high-speed circuitry, and a display processor. Various other examples may include these elements in different configurations or integrated together in different ways. Additional details of aspects of computer  128  may be implemented as illustrated by the glasses  100  discussed below. 
     The computer  128  additionally includes a battery  130  or other suitable portable power supply. In one example, the battery  130  is disposed in one of the left temple pieces  106  and the right temple piece  108  or multiple batteries  130  located in each temple piece. In the glasses  100  shown in  FIG.  1   , the battery  130  is shown as being disposed in left temple piece  106  and electrically coupled to the computer  128  through electrical conductors disposed within the front piece  104 . The glasses  100  can include a connector or port (not shown) suitable for charging the battery  130  accessible from the outside of frame  102 . The glasses  100  can further include a wireless receiver, transmitter, or transceiver (not shown) or a combination of such devices, inertial measurement sensors, and other sensors disposed within the front piece  104 , the left temple piece  106 , and right temple piece  108 . 
     In one or more implementations, the glasses  100  include one or more cameras  132 . Although two cameras are depicted, other examples contemplate the use of a single or additional (i.e., more than two) cameras  132 . In one or more examples, the glasses  100  include any number of sensors or peripheral devices in addition to the camera  132 . For example, the glasses  100  may include sonar sensors, radar sensors, laser sensors, lidar sensors, and inertial measurement units (such as accelerometers, gyroscopes, and magnetometers). 
     The front piece  104  is provided with an outward facing, forward-facing front or outer surface  134  that faces forward or away from the user when the glasses  100  are mounted on the face of the user, and an opposite inward-facing, rearward-facing or rear or inner surface  136  that faces the face of the user when the glasses  100  are mounted on the face of the user. Such sensors can include inwardly facing video sensors or digital imaging modules such as a that can be mounted on or provided within the inner surface  136  of the front piece  104  or elsewhere on the frame  102  so as to be facing the user, and outward-facing video sensors or digital imaging modules such as the camera  132  that can be mounted on or provided with the outer surface  134  of the front piece  104  or elsewhere on the frame  102  so as to be facing away from the user. Such sensors, peripheral devices or peripherals can additionally include biometric sensors, location sensors (e.g., GPS), or any other such sensors. 
     In one or more implementations, the glasses  100  include input sensors such as touchpads or buttons (not shown). The touchpads may be mounted to or integrated with one or both of the left temple piece  106  and right temple piece  108 . The touchpads are generally vertically arranged, approximately parallel to a user&#39;s temple in one example. As used herein, generally vertically aligned means that the touchpad is at least more vertical than horizontal, although preferably more vertical than that. Additional user input may be provided by one or more buttons. The one or more touchpads and buttons provide a means whereby the glasses  100  can receive input from a user of the glasses  100 . The glasses  100  may include microphones to receive verbal commands from the user and monitor other sounds. Similarly, the glasses  100  may include speakers to provide auditory feedback to the user or allow the user to play music. 
       FIG.  2    illustrates the glasses  100  from the perspective of a wearer. For clarity, a number of elements shown in  FIG.  1    have been omitted. As described in  FIG.  1   , the glasses  100  shown in  FIG.  2    include left optical element  116  and right optical element  122  secured within each of the left optical element holder  114  and the right optical element holder  120 , respectively. 
     The glasses  100  include a right forward optical assembly  202  comprising a right projector  204  and a right near eye display  206 , and a left forward optical assembly  208  comprising a left projector  210  and a left near eye display  212 . 
     In one example, the near eye displays are waveguides. The waveguides include reflective or diffractive structures (e.g., gratings and/or optical elements such as mirrors, lenses, or prisms). Right projected light  214  emitted by the right projector  204  encounters the diffractive structures of the waveguide of the right near eye display  206 , which directs the light towards the right eye of a user to provide an image on or in the right optical element  122  that overlays the view of the real world seen by the user. Similarly, left projected light  216  emitted by the left projector  210  encounters the diffractive structures of the waveguide of the left near eye display  212 , which directs the light towards the left eye of a user to provide an image on or in the left optical element  116  that overlays the view of the real world seen by the user. 
     It will be appreciated however that other display technologies or configurations may be provided that can display an image to a user in a forward field of view. For example, instead of a right projector  204  or a left projector  210  and a waveguide, an LCD, LED or other display panel or surface may be provided instead. 
     In use, a wearer of the glasses  100  will be presented with information, content, AR effects, virtual objects and various user interfaces on the near eye displays. As described in more detail below, the user can then interact with the glasses  100  using a touchpad and/or the buttons (not shown), by gestures within the field of view of the cameras, as well as by providing voice inputs or touch inputs on an associated device, for example client device  404  illustrated in  FIG.  15   . 
       FIG.  3    is a side view of a personal mobility system (e.g., a scooter  300 ), in accordance with some examples. The scooter  300  comprises a main body  302  with at least two wheels (i.e., front wheel  306  and rear wheel  308 ) mounted to the main body  302 . The main body  302  provides a platform for at least a single user to stand on (or sit on with a seat secured to the main body  302 ). The scooter  300  further includes a steering column  304  coupled to at least one of the wheels (i.e., front wheel  306 ). In some examples, each of the front wheel  306  and rear wheel  308  comprises a wheel hub, spokes, a wheel rim and tire. The steering column  304  is rotatable coupled to the main body  302  to permit steering of the front wheel  306 . 
     The steering column  304  further comprising handlebars  310  extending at a substantially perpendicular orientation from the steering column  304  with the handlebars  310  set at a height for a user to steer the scooter  300  while riding. The handlebars  310  may include a left handle  312  and a right handle  314 . The left handle  312  includes an acceleration control  316  and a brake control  318  operably connected to the brake of at least one of the front wheel  306  and the rear wheel  308 . As will be discussed in further detail below, each of the acceleration control  316  and brake control  318  is operably connected to a management system  324 . 
     The scooter  300  also includes a power source  320 , a propulsion source  322 , a management system  324 , and forward-looking sensors  326 . 
     The power source  320  and the propulsion source  322  are each independently operably connected to the management system  324 . The acceleration control  316  and the brake control  318  are also each independently operably connected to the management system  324 , although in some cases the brake control  318  may only be physically coupled to a manual brake system. In operation the user provides inputs through the acceleration control  316  and the brake control  318  to the management system  324  for starting, maintaining, changing and ceasing movement of the scooter  300 . Additionally, regenerative braking may be provided via the acceleration control  316 . As will be further discussed below, the user may also provide inputs through at least one of the glasses  100  and a client device  404 . The management system  324  directs the flow of energy from the power source  320  to the propulsion source  322 . 
     The propulsion source  322  further comprises a motor, a power linkage to the management system  324 , and mechanical linkage to at least one of the front wheel  306  and the rear wheel  308  so that the propulsion source  322  can drive at least one of the wheels. For the sake of clarity, the motor may directly drive the wheels or indirectly drive the wheels via a chain/sprocket/drive shaft/transmission/or other indirect drive means. In some implementations, the brake and propulsion source may be disposed within the hub of at least one of the front wheel  306  and the rear wheel  308 . In the implementation illustrated in  FIG.  3   , the propulsion source  322  is located in the front wheel  306 . The brake can include front and rear drum or disk brakes operably connected to the brake control  318 . Other types of brakes such as cantilever, and V-brakes may also be used. 
     The power source  320  may be disposed within the main body  302  and may be charged by the management system  324 , which in turn receives power from an outside power source through a connector  328 . In some implementations, the power source  320  is removable, allowing a user to swap power sources  320  and to charge each power source  320  away from the scooter  300 . 
     Additionally, the management system  324  is operatively connected to the forward-looking sensors  326  and the visual feedback element  332 . The forward-looking sensors  326  are disposed within the sensor housing  330  and mounted to the steering column  304  so that the forward-looking sensors  326  have an unobstructed view in the direction of travel of the scooter  300 . The forward-looking sensors  326  may include sensing technologies such as cameras, sonar sensors, radar sensors, laser sensors, and lidar sensors; as well as safety components such as lights or horns. The visual feedback element  332  faces the user and provides the user with information (e.g., power source status, speed, location, and other data received from the management system  324 ). The visual feedback element  332  may also include a communications module (such as Bluetooth transducer, antennas) operably connected to the management system  324 . Additional elements of the scooter  300  will be discussed in further detail below with respect to the networked devices  1502 . In some implementations, elements of the management system  324  are integrated into the networked device  1502 . 
       FIG.  4    is a network diagram illustrating a network environment  400  suitable for operating an AR wearable device (such as glasses  100 ) and a personal mobility system (such as a scooter  300 ), according to some examples. The network environment  400  includes glasses  100 , a scooter  300 , a client device  404 , and a server  410 , communicatively coupled to each other directly or via a network  408 . The glasses  100 , scooter  300 , client device  404 , and the server  410  may each be implemented in a computer system, in whole or in part, as described below with respect to  FIG.  17   . The server  410  may be part of a network-based system. For example, the network-based system may be or include a cloud-based server system that provides additional information, such geographical location information or virtual content (e.g., three-dimensional models of virtual objects) to the glasses  100 , the scooter  300 , and the client device  404 . 
     The client device  404  may be a smartphone, tablet, phablet, laptop computer, access point, or any other such device capable of connecting with the glasses  100  and the scooter  300  using both a low-power wireless connection and a high-speed wireless connection. The client device  404  is connected to the server  410  and the network  408 . The network  408  may include any combination of wired and wireless connections. The server  410  may be one or more computing devices as part of a service or network computing system. The client device  404  and any elements of the server  410  and network  408  may be implemented using details of the software architecture  1602  or the machine  1700  described in  FIG.  16    and  FIG.  17   . 
     A user  402  operates the glasses  100  and the scooter  300 . The user  402  may be a human user (e.g., a human being), a machine user (e.g., a computer configured by a software program to interact with the glasses  100  and the scooter  300 ), or any suitable combination thereof (e.g., a human assisted by a machine or a machine supervised by a human). The user  402  is not part of the network environment  400  but is associated with the glasses  100 , scooter  300 , and the client device  404 . 
     Although the AR wearable device in  FIG.  4    is represented as glasses  100 , the AR wearable device may be a computing device with a display such as a smartphone, a tablet computer, or other wearable computing device. The computing device may be hand-held or may be removably mounted to a head of the user  402 . In one example, the display is a screen that displays what is captured with a camera of the computing device. In another example, the display of the device may be transparent, such as one or both of the left optical element  116  and the right optical element  122  of glasses  100 . 
     The user  402  interacts with an application running on the glasses  100  or the client device  404  or a combination thereof. The application may include an AR application configured to provide the user  402  with an experience associated with a physical object  406 , such as a two-dimensional physical object (e.g., a picture), a three-dimensional physical object (e.g., a statue, a car, a person), a specific location (e.g., a landmark), or any references (e.g., perceived corners of walls or furniture) in the real-world physical environment  412 . 
     The AR application can also provide the user  402  with an experience associated with operation of the scooter  300  in addition to presenting information provided by the scooter  300 . For example, the user  402  may point a camera  132  of the glasses  100 , which captures an image or video feed of a physical object  406  (e.g., a stop sign, a traffic light, a pothole). The contents of the image or video feed are tracked and recognized in the glasses  100  using a local context recognition dataset module of the AR application of the glasses  100 . The local context recognition dataset module may include a library of virtual objects or machine-learning models associated with real-world physical objects or references. The AR application then generates additional information related to the image or video feed (e.g., a three-dimensional model, a visual effect, an overlay of textual or symbolic information) and presents this additional information in a display of the glasses  100  in response to identifying features in the image or video teed. If the contents of the video feed or image are not recognized locally at the glasses  100 , the glasses  100  may download additional information (e.g., the three-dimensional or machine learning model), from a database of the server  410  over the network  408  or may provide the image or video feed to an associated device (e.g., the client device  404  or server system  1508 ) for processing. 
     In one example, the server  410  is used to detect and identify the physical object  406  based on sensor data (e.g., image and depth data, location) from the glasses  100  or the scooter  300  and to determine a position or pose of at least one of the glasses  100 , the scooter  300 , and the physical object  406  based on the sensor data. The server  410  can also retrieve or generate a virtual object  414  based on the pose and position of the glasses  100 , the scooter  300 , the physical object  406 , and, in some implementations, of the client device  404 . The server  410  or the client device  404  communicates the virtual objects  414  to the glasses  100 , which can then display the virtual objects  414  to the user  402  at an appropriate time. Alternatively, the data comprising the virtual objects could be stored in local memory in the client device  404 , glasses  100  The object recognition, tracking, virtual object generation and AR rendering can be performed on either the glasses  100 , the scooter  300 , the client device  404 , the server  410 , or a combination thereof. 
     Any of the machines, databases, or devices shown in  FIG.  4    may be implemented in a general-purpose computer modified (e.g., configured or programmed) by software to be a special-purpose computer to perform one or more of the functions described herein for that machine, database, or device. For example, a computer system able to implement any one or more of the methodologies described herein is discussed below with respect to  FIG.  16     FIG.  17   . As used herein, a “database” is a data storage resource and may store data structured as a text file, a table, a spreadsheet, a relational database (e.g., an object-relational database), a triple store, a hierarchical data store, or any suitable combination thereof. Moreover, any two or more of the machines, databases, or devices illustrated in  FIG.  4    may be combined into a single machine, and the functions described herein for any single machine, database, or device may be subdivided among multiple machines, databases, or devices. 
     The network  408  may be any network that enables communication between or among machines (e.g., server  410 ), databases, and devices (e.g., glasses  100 ). Accordingly, the network  408  may be a wired network, a wireless network (e.g., a mobile or cellular network), or any suitable combination thereof. The network  408  may include one or more portions that constitute a private network, a public network (e.g., the Internet), or any suitable combination thereof. 
       FIG.  5    is a view of an outdoor environment  502  that has been enhanced with AR elements that are displayed on the displays  1516  of the glasses  100  according to one example. In this example, a user is riding a scooter  300  along a street or pathway  504  in the environment  502 , which includes buildings  506 , trees  508 , people  510  and so forth. The pose of the glasses  100  relative to the environment  502  has been determined and is continually updated using known AR localization and tracking techniques, including for example by a visual processing technique such as Simultaneous Localization and Mapping (SLAM). The pose of the glasses  100  can be refined and the particular identity and characteristics of the environment can be further determined by comparing SLAM data with existing point cloud models for the environment  502 , stored in on a server  410  or downloaded to the glasses  100 , client device  404  or scooter  300 . Additionally, the location of the glasses  100 , scooter  300  or client device  404  can be determined from (IPS coordinates, or by these devices sharing location information with each other. 
     The pose of the glasses  100  permits virtual objects to be displayed to the user in the frame of reference of the environment. That is, a virtual object such as a power up  512  (illustrated as a mushroom) and a power down  514  (illustrated as a banana) can be displayed by the glasses  100  in a fixed position on the pathway  504 . As the user turns their head or approaches one of the virtual objects, its apparent position on the pathway  504  is maintained, with appropriate scaling as the user approaches or recedes from the virtual object. The positions of the virtual objects  414  can be predefined for a particular location (for example along a popular trail) or can be positioned intermittently by the AR application. In one example, the positions and identities of the virtual objects  414  are defined in a map of the environment that is stored on the client device  404  or on the server  410  and, which is or accessed by the AR application based on the pose and location of the glasses  100 . Similarly, the data defining individual virtual objects  414  including their appearance and performance-altering characteristics are stored in a database hosted on the server  410  or locally on the client device  404 . 
     Since the position of the user in the environment  502  is known (being the position of the scooter  300 , glasses  100  or client device  404 ), and the positions of the virtual objects  414  in the environment  502  are known, the user can interact with the virtual objects by riding over or through them as perceived by the user. The effect of such an interaction will depend on the nature of the virtual object. For example, when the scooter  300  passes over (the location of) a power up  512 , the power of the scooter  300  that is available for use can be increased, or the maximum speed of the scooter can be increased, typically for a certain amount of time. Similarly, when the scooter  300  passes over a power down  514 , the power of the scooter  300  that is available for use can be decreased, or the maximum speed of the scooter can be decreased, typically for a certain amount of time or it can be brought completely to a halt. In this way, interaction with a virtual object can affect the behavior or characteristics of real devices such as the scooter  300 . It will of course be appreciated that the scooter  300  itself does not actually ride over the virtual object  414 , but rather the position of the scooter  300  at the perceived location of the virtual object  414  is detected by the glasses  100 , the client device  404  or the scooter  300 . 
     In another example, interaction with virtual object such as the power up  512  as shown in  FIG.  5   , can result in the virtual object  414  being acquired by the user for use at a later time, in which case the virtual object may be transferred to and positioned in a frame of reference of the glasses  100  or the scooter  300  as described in more detail below with reference to  FIG.  6   . In such a case, further interaction with the virtual object by the user is required to trigger the change in behavior or characteristics of the scooter  300  as discussed above. The user can thus acquire a power up  512  or other virtual object and choose to use it at a time of their choosing. 
       FIG.  6    is a view of the handlebars  310  of scooter  300  in an outdoor environment  502 , in which the scooter  300  has been enhanced with AR elements according to one example. In this case, virtual objects such as power up  602 , eco mode  604  and sport mode  606  are displayed to the user, by the glasses  100 , in the frame of reference of the scooter  300 . In this example, the virtual objects are shown as floating just above the handlebars  310  of the scooter  300 . As the user  402  turns their head or gets closer to or further from one of the virtual objects, its position on the handlebars  310  is maintained, with appropriate scaling as the user approaches or recedes from the virtual object. 
     The virtual objects illustrated in  FIG.  6    may be persistent in the frame of reference of the scooter  300 , for example the eco mode  604  and sport mode  606  virtual objects may represent features or adjustments to the operation of the scooter that are available at all times during operation of the scooter  300 . In this way, the available control features of the scooter can be extended beyond those that are available using the physical controls on the scooter. 
     The virtual objects  414  illustrated in  FIG.  6    may also appear and disappear during operation of the scooter, for example they may appear as they become available for use and may then disappear after use. In one case, when a scooter rides over a power up  512  as shown in  FIG.  5   , it will disappear from the pathway  504  and appear as the power up  602  in the frame of reference of the scooter  300  as shown in  FIG.  6   . This can occur when the performance-modifying effect of the power up  512  does not occur immediately when the scooter  300  arrives at the position in the real world corresponding to the location of the power up  512  but is rather delayed until such time as the user decides to activate it as discussed below. The power up  512  has effectively been acquired rather than activated by passage of the scooter  300   
     To facilitate positioning of the virtual objects  414  in  FIG.  6   . The handlebars  310  are detected by the glasses  100  or the client device  404  within the field of view of the cameras  132  of the glasses  100  using object detection techniques applied to a video feed from the cameras  132 . Using 3D reconstruction techniques, the relative position and orientation between the glasses  100  and the handlebars  310  can be determined by the glasses  100  or the client device  404 , permitting the correct placement of the virtual objects above the handlebars  310  as the relative position between the handlebars  310  and the glasses  100  change due to user or handlebar movement. 
     In another example, the relative position and orientation of the scooter  300  and the glasses  100  can be determined by comparing their individual poses in a common local or global frame of reference. In such a case it will be necessary for the scooter  300  to provide data relating to an angle through which the handlebars are turned in order to fix the virtual objects to the handlebars  310  in the user&#39;s field of view. Alternatively, the virtual objects could be fixed with reference to the main body  302  or steering column  304 , to float in a fixed orientation above the handlebars  310  or (other portion of a personal mobility system) regardless of the orientation of the handlebars  310 . 
     In use of the example shown in  FIG.  6   , the intersection of a user&#39;s hand or finger(s) with one of the virtual objects (power up  512 , eco mode  604 , sport mode  606 ) is detected in the video feed from one or both of the cameras  132  using gesture detection or other visual object intersection techniques. In response to such detection, an instruction is provided by the glasses  100  or the client device  404  to modify the behavior of the scooter  300  appropriately based on the particular virtual object with which the user has interacted. 
       FIG.  7    is a view of an outdoor environment  702  that has been enhanced with AR elements that are displayed on the displays  1516  of the glasses  100  according to one example. As before, a user is riding a scooter  300  through the outdoor environment  702 . The pose of the glasses  100  relative to the environment  702  has been determined and is continually updated using known AR localization and tracking techniques, including for example by a visual processing technique such as Simultaneous Localization and Mapping (SLAM). The pose of the glasses  100  can be refined and the particular identity and characteristics of the environment can be further determined by comparing SLAM data with existing point cloud models for the environment  702 , stored in on a server  410  or downloaded to the glasses  100 , client device  404  or scooter  300 . Additionally, the location of the glasses  100 , scooter  300  or client device  404  can be determined from GPS coordinates, or by these devices sharing location information with each other. 
     In this example, the environment  702  includes a walking path  704 , a bicycle path  706  a street  710  and a traffic cone  712  located on the bicycle path  706  to indicate a hazard in the bicycle path  706 . Personal mobility systems are not permitted on the walking path  704  but only on the bicycle path  706  in this example. To assist the user with navigating the environment, one or more virtual objects  414  are placed in the user&#39;s field of view as displayed by the glasses  100 . In this example, a colored AR overlay  708  is positioned over the bicycle path  706  to highlight the path that the user is permitted to take, thereby facilitating correct riding etiquette. Alternatively, forbidden areas (such as the walking path  704 ) or more hazardous areas (such as a street  710  with cars) can be provided with an overlay instead of or in addition to the AR overlay  708  on the  706 . Different colors or effects may be used to distinguish the correct path or area that can be traversed by the scooter  300  from forbidden or hazardous areas. 
     As with the examples discussed above, interaction with the AR overlay  708  by proximity of the scooter  300  to the location in the environment of the AR overlay  708  can affect the behavior and character of the scooter. In the case of the AR overlay  708 , positioning of the scooter on the bicycle path  706  (that is on the AR overlay  708  as perceived by the user) can enable operation at the full capability of the scooter  300 , while departing from the bicycle path  706  (or from the AR overlay  708  as perceived by the user) can result in reduced functioning of the scooter  300 . Additional effects may also be provided to prompt the user to use the correct path, for example by changing the color or other effects (for example flashing or pulsing) of the AR overlay  708  as displayed by the glasses  100  when the scooter leaves the bicycle path  706 . Alternatively, if overlays or other virtual objects  414  are provided on the walking path  704  or the street  710 , positioning of the scooter  300  on the overlay or intersecting with the virtual object can trigger reduced functioning of the scooter  300 , which is unchanged when the scooter  300  is positioned on the bicycle path  706 . 
     The AR application running on either the glasses  100  or client device  404  may also scan for relevant physical objects or features in the environment  702  using known object detection and recognition techniques. For example in  FIG.  7   , the traffic cone  712 , which is an indicator that a hazard may be present in the bicycle path  706 , can be detected by the glasses  100  or client device  404 . A virtual object  414  can then be displayed by the glasses  100  to highlight the traffic cone. For example, a pulsing or flashing high-contrast AR overlay can be placed on or around the traffic cone  712  in the scene as viewed by the user through the glasses  100 . 
     Any physical object  406  that is a hazard, identifies a hazard, or provides other relevant information to a rider of a personal mobility system can be highlight in this manner, including crosswalks, signage, caution tape, and so forth. 
     In addition to emphasizing the physical object, the behavior of the personal mobility system can be altered in response to proximity with the hazard. For example, the brakes could be applied or the maximum speed or power could be reduced as before as the user  402  approaches the hazard. 
       FIG.  8    is a view of an outdoor environment  802  that has been enhanced with AR elements that are displayed on the displays  1516  of the glasses  100  according to another example. As before, a user is riding a scooter  300  through the outdoor environment  802 . Also as before, the environment  802  includes a walking path  704 , a bicycle path  706  and a street  710 . As for environment  702  discussed with reference to  FIG.  7   , AR overlay  708  has been provided to highlight the bicycle path  706 . 
     In this example, the AR application running on either the glasses  100  or client device  404  has detected an otherwise unmarked hazard (a pothole  804 ) in the environment  702  using known object detection and recognition techniques. In one example, the object detection and recognition is performed using a context or location-specific model for potential obstacles or objects that is loaded into the memory of the glasses  100  or client device  404 . This reduces the data processing burden since the glasses  100  or client device  404  need only search for potential obstacles or warning signs that may be present in that context or at that location. For example, the context-specific ML model will not include road signs if the user  402  is riding on a mountain bike trail. 
     In the example of  FIG.  8   , in response to detecting the pothole  804 , a virtual traffic cone  806  is displayed by the glasses  100  at the perceived location of the pothole  804  in the field of view of the glasses  100 . Various effects can be applied. For example, a pulsing or flashing high-contrast AR overlay can be placed on or around the virtual traffic cone  806  in the scene as viewed by the user through the glasses  100 . 
     Any physical object  406  that is a hazard, identifies a hazard, or provides other relevant information to a rider of a personal mobility system can be highlight in this manner, including crosswalks, signage, potholes, sinkholes, trenches, ditches and so forth. Other virtual signage, such as a sign with “DANGER AHEAD,” can be placed over or in front of a physical hazard such as the pothole  804  in the field of view of the glasses  100 , in addition to or instead of the virtual traffic cone  806 . 
     In addition to emphasizing the physical object, the behavior of the personal mobility system can be altered in response to proximity with the pothole  804 . For example, the brakes could be applied or the maximum speed or power could be reduced as before. 
       FIG.  9    is a view of an outdoor environment  902  that has been enhanced with AR elements that are displayed on the displays  1516  of the glasses  100  according to another example. As before, a user is riding a scooter  300  through the outdoor environment  902 . In this case, the user is riding collaboratively or competitively with a friend  906  on another scooter  908 . The user and the friend are riding along a pathway  904  on a shared virtual race course that has been defined along the pathway  904 . 
     The AR elements shown on the user&#39;s display include items that are unique to the user as well as items that are common to those displayed on a corresponding AR device (such as glasses  100 ) worn by the friend  906 . In the illustrated embodiment, a power down  910  and a virtual finish line  914  are or can be seen by both the user and the friend  906  (depending on where they are looking, that is where their glasses  100  are pointing), with appropriate adjustments to size, location and orientation in the field of view of the glasses  100  of both the friend  906  and the user. That is, these objects are, from the perspective of both participants, located in the same physical location in the real world but in different locations in the frame of reference of their respective glasses  100 . Additional virtual objects or AR elements can be displayed as shared, including for example indicators of the race course surface (such as an AR overlay  708  as shown in  FIG.  7   ) or track borders or directional arrows shown to illustrate the course to the user and the friend  906 . 
     The AR elements shown on the user&#39;s display that are unique to the user may for example include status information  912 , which may be fixed at the top left of the field of view of the glasses  100 , and AR effects such as a virtual plume  916  that appears to be emanating from the rear of the friend&#39;s scooter  908 . The virtual plume  916  may vary in color or appearance to distinguish between different participants. The status information  912  may be included in each participant&#39;s display, appropriately modified for that participant. As shown, the status information  912  can include an elapsed time and the user&#39;s position (2nd Place) in the race, lap time, finish time and position (once the virtual finish line  914  is crossed), points accrued, a race and season leader board, information about other participants such as ranking, username, riding level, and so forth. 
     In use, the course is accessed by the participants in a shared session in which they can, for example, race against each other. The session can be scheduled and created using a messaging or social media application running on participants&#39; client devices  404  or glasses  100 . Shared sessions can be by invitation or advertised as available based on proximity of the user&#39;s friends (as represented by the proximity of their respective client devices  404  or glasses  100 ) to the start point. Virtual objects  414  such as power ups  512  and power downs  514  are available to the participants for interaction as discussed above, and intersection or proximity to a virtual object  414  will similarly affect each user&#39;s scooter as discussed above, to provide a boost or handicap or other effect depending on the virtual object. Virtual objects  414  can include start/stop designators, navigational cues, real-world object warnings, a virtual value object (e.g., coins or upgrades that increase or decrease a score), or performance modifying objects, and so forth. 
     Virtual objects  414  can be persistent (that is, they remain available to other participants even when one participant has used or acquired a virtual object) or they can vanish from the course for other participants once one participant has acquired or used it. Additionally, virtual objects  414  could respawn after a certain amount of time, or for each lap of the course, depending on their properties. Furthermore, some virtual objects  414  can be acquired for later use as described with reference to  FIG.  6   . Users can ride through previously created tracks on their own or with other users at the same time. Metrics (e.g., scores or lap times) are then shared between participants within the multiplayer environment and they are ranked accordingly. In an example, when two users are competing in the same course at the same time, the AR device can display information about other players (e.g., ranking, username, riding level). In this example, standard localization methods (e.g., GPS) or the localization/detection methods described in can be used to generate and display information about other riders during competition. 
       FIG.  10    illustrates a user interface  1002  for an environment building mode according to one example. The user interface  1002  includes a map  1004  with roads  1006  or other geographical features and a menu  1008 . The user interface  1002  is displayed on the display of a computing device such as client device  404 , glasses  100 , a tablet or laptop computer and so forth. The menu  1008  includes options for creating a new course, saving a course that is being or has been created, an undo feature to reverse the last editing action and a share feature. Additional editing features may be provided. 
     The map  1004  may be displayed based on the proximity of the computing device or may be a location that has been found or specified by the user by searching for or entering a specific location. The user interface  1002  permits a user to creates a virtual track or course, fixed relative to the real world, and including virtual objects as discussed above. This course can then be ridden by one or more users in a competitive or recreational or collaborative gameplay mode as discussed above. 
       FIG.  11    illustrates the user interface of  FIG.  10    in which a course has or is being created. The user interface  1102  shows a course  1104  with a starting line  1106  and a finish lines  1108 . In one example, a user first creates the course (e.g., a continuous path or a series of waypoints) by physically riding through the desired course while wearing the glasses  100 . In this example, the user interface  1102  in response to receiving a “New” input provides an option to “Record New Course.” In response to receiving selection of this option by the user, the glasses  100  or client device  404  captures a sequence of location information corresponding to the position of the glasses  100 , client device  404  or scooter  300  until a “Stop Recording” input is received from the user. The course is then defined with the starting line  1106  being when the “Record New Course” input was received and with the finish line  1108  being when the “Stop Recording” input is received and the track of the course being defined by the sequence of captured location information. 
     In addition to recording the basic path taken by the scooter while capturing the location information, the glasses  100  may perform object recognition or 3D reconstruction to detect relevant boundaries for defining the course, for example the edges of a path or a road on which scooter is riding. The course can then be defined by such boundaries rather than just by the track of the scooter. Similarly, the recorded track can be compared by one of the computing devices in the system (such as client device  404  or server  410  and so forth) with the boundaries of known routes (paths, roads and so forth) along the recorded path. The boundaries of the course can then be set by the relevant computing device as the boundary of the corresponding route. 
     In another example, the course is created in response to user inputs on the user interface  1102 . For example, in response to receiving a “New” input in the user interface  1002 , sequential touch inputs could be received on a display with a touchpad (such as on client device  404 ) to define the starting line  1106 , turns and finish line  1108 . Various editing options could be provided, for example to move a turning point by pressing, holding and dragging it, by receiving “Undo” commands, and so forth. 
     Also illustrated in user interface  1102  is a “+ Item” menu option  1110 , which can be used to add virtual objects or other information to the course  1104 . 
       FIG.  12    illustrates the user interface of  FIG.  10    in which virtual objects  414  are being placed on a course that is being or has been defined as described with reference to  FIG.  11   . The user interface  1202  is displayed in response to receiving selection of the “±Item” menu option  1110  shown in  FIG.  11   . As can be seen, the user interface  1202  includes a number of available virtual objects  1206 , which can be dragged and dropped from the menu  1210  onto the course  1104 , which is illustrated in  FIG.  12    by course boundaries  1204 . Placed virtual objects  1208  are shown in the user interface  1202 , which can be moved by drag inputs or deleted in response to a long press on a placed available virtual object  1206  followed by selection or confirmation of a delete option. In response to receiving an input on “Done” menu option  1212 , the display will revert to user interface  1102 . 
     When the course  1104  has been finalized, upon receipt of a Save or Share input, the corresponding action is taken. In one example, the course may be shared via a message composed in a chat interface of a messaging application and sent to one or more of a user&#39;s connections or friends. The Share message may include an invitation to ride the course, as well as time, date and location information and an RSVP option. 
       FIG.  13    is a flowchart  1300  showing operation of the network environment  400 , according to one example. In this example, two or more participants are going to compete against each other on a course that has been defined as described with reference to  FIG.  10    to  FIG.  12    and  FIG.  14   . 
     The operations illustrated in  FIG.  13    will typically execute on a combination of client device  404  and glasses  100 , although the operations may execute exclusively in glasses  100  or in a combination of the glasses  100  and one or all of client device  404 , scooter  300  and server  410 . In the case of a collaborative or competitive session as contemplated, the operations in  FIG.  13    will execute on each user&#39;s devices. Various implementations are of course possible. In one example, the operations are performed jointly between the glasses  100 , which provides a video feed for processing from at least one of its cameras  132  and positional information from its IMU and GPS receiver to an AR application running on the client device  404 , which processes the video feed, performs any required 3D reconstruction and tracking, and generates and transmits AR effects, including virtual objects  414 , to the glasses  100  for display to the user  402 . For the purposes of clarity, flowchart  1300  is discussed herein with reference to such an example. 
     Prior to the commencement of the flowchart  1300 , localization and tracking of the glasses  100  has commenced and is ongoing for all participants. The pose of the glasses  100  and their location in the environment  502  is thus known to the glasses  100  and the AR application running on the corresponding client device  404 . Additionally, if required, the locations and poses of related devices such as the scooter  300  or client device  404  are determined and communicated as needed between the glasses  100 , scooter  300  and client device  404  for a particular participant. 
     A map of the environment, including the location of the virtual objects  414  and the course  1104 , has been downloaded or is available for download to the participants&#39; client devices from server  410 . In the case of detection of hazards (including identifiers of hazards), such as in  FIG.  7    or  FIG.  8   , each client device  404  has been and continues to perform object detection and recognition techniques to identify and locate hazards within the field of view of the glasses  100 . Once a hazard has been identified, a corresponding virtual object  414  is placed in a map of the environment or in a corresponding location in a frame of reference of the glasses  100 . 
     The method starts at operation  1302  with the initiation of a joint session involving all of the participants. The joint session may be initiated in response to an invitation transmitted by one of the participants from their client device  404  to their friends or connections, or may be in response to a prompt that is triggered upon the detection of the proximity between the client devices  404  or glasses  100  of users  402  who are friends or connections to each other and are either at or near enough to the location of the start course  1104  to be able to join in a reasonable time. 
     The method continues at operation  1304  with a determination of and comparison between the locations and poses of the devices (scooter  300 , glasses  100  or client device  404 ) for the participants in the joint session. The purpose of this comparison is three-fold. Firstly, to locate each participant on the course, secondly, (in subsequent iterations of the method) to determine the relative positions of the participants on the leaderboard, and thirdly, to identify the relative positions of the scooters  300  and their riders to permit AR effects to be applied to scooters  300  or participants within the field of view of a particular participant. The location of any of the devices (glasses  100 , scooter  300  or client device  404 ) can be used as a proxy for the location of its user for many purposes in the method, since they will essentially be collocated with the particular user  402  at all relevant times. 
     At operation  1306 , the status information  912  and AR effects (such as virtual plume  916 ) are applied, updated and displayed by the glasses  100  for each participant. In some cases AR effects are applied based on the relative poses between scooters  300  as determined by measurements from position components  1708  (GPS receivers, inertial measurement units and so forth) and in some cases by object recognition performed by the glasses  100  or client device  404  to identify participants or scooters in the field of view of a particular pair of glasses  100 . 
     The method continues at operation  1308  with a comparison between the location and field of view of the glasses  100  of each participant and the locations of any nearby virtual objects  414 . The purpose of this comparison is two-fold. Firstly, to display any visible virtual objects  414  in the displays of the glasses  100 , fixed to an appropriate frame of reference (e.g., a global real world frame of reference as shown in  FIG.  7    or to a local frame of references such as the scooter  300  as shown in  FIG.  6   ) and to determine any intersection of or proximity between a user  402  and a virtual object  414  fixed in the real world frame of reference, such as power down  514  or power up  512 . 
     In operation  1324  any visible virtual objects  414  (such as power down  910 , power up  512 , a starting line  1106  and so forth) are rendered by the glasses  100  using conventional AR techniques. In some instances, nearby virtual objects in the line of sight of the glasses  100  may, not be visible due to an intervening virtual object or physical object as determined by a 3D model of the environment, for example based on an existing 3D point cloud model of the area or 3D reconstruction techniques performed by the glasses  100  or client device  404  on the video feed from the cameras  132 . From operation  1324  the method returns to operation  1304  and this loop continues repetitively to ensure that any movement by the user (as reflected by movement of one or more of the glasses  100 , scooter  300  and client device  404 ) and the appearances of new or current virtual objects  414  in the field of view of the user  402  are correctly displayed to the user  402  by the glasses  100 , that status information  912  is updated for each participant, and that any AR effects are correctly rendered. 
     The display of virtual objects in operation  1324  includes the display over the environment  802  of the boundaries  1204  of the course, an AR overlay  708  indicating the course or off-limits areas, a virtual starting line, virtual finish line  914  and any directional indicators such as arrows displayed on or over the pathway  904  to indicate turns and course direction. Individual scoring, position and timing information will also be displayed by the glasses  100  to each user  402 , such as status information  912  as described with reference to operation  1306 . In response to user input initiating the race, received from the organizer of the joint session, the status information  912  may provide a visual or audible countdown to race start to the participants via the glasses  100 . Upon commencement of the race, the loop in the flowchart between operation  1324  and operation  1304  continues with appropriate updates as the race progresses. 
     From operation  1308 , the method also proceeds to operation  1310  where it is determined whether the location of a user  402  (or a part of the user  402 ) is proximate to a virtual object  414  during the race. This can be as a result of the glasses  100 , scooter  300  or client device  404  arriving at the location in the real world of the virtual object  414  or by visually detecting intersection of a hand or other body part of the user  402  with the virtual object  414 . How close the user  402  and the virtual object  414  need to be to satisfy this test will depend on the particular virtual object and the associated implementation. For a power up  512  or a power down  514 , the proximity will be sufficiently close as to make the user  402  and the virtual object  414  essentially collocated. For a virtual object that will trigger a warning or a change in performance characteristics such as a virtual traffic cone, or arrival on or departure from AR overlay  708 , the proximity may be appropriately greater so as to provide sufficient warning before the scooter actually arrives at the hazard or departs from an authorized path. Sufficient proximity to satisfy the test for a particular virtual object can be considered to be intersection with the virtual object. 
     If no intersection is detected in operation  1310 , the method returns to operation  1304  and continues from there. If intersection is detected in operation  1310 , the virtual object  414  is updated if appropriate at operation  1312 . For example, a power up  512  or power down  514  may disappear from its apparent location and thus be unavailable for re-use by the user  402  or other riders or it may be persistent and available for re-use as discussed above. The disappearance may be temporary or until the course is restarted. On the other hand, an object such as a virtual traffic cone or an AR overlay  708  is likely to be persistent. 
     The method then proceeds to operation  1314  where the parameters associated with the virtual object  414  are processed to determine the appropriate actions to be taken by the glasses  100  or client device  404  for the participant who has interacted with the virtual object  414 . The actions taken in response to intersection with the virtual object  414  will depend on the particular characteristics of the virtual object  414 . The parameters associated with the virtual object will define whether there are any sounds or visuals associated with intersection with the virtual object  414 , the nature and extent of the associated change in the available or current performance characteristics of the scooter  300  (or other personal mobility system), the duration of the change in the performance characteristics (permanently, for a certain amount of time, for as long as the scooter  300  is sufficiently proximate to the location of the virtual object  414  and so forth), and the timing of the change (immediate, delayed, delayed until activated by the user  402 , delayed until another condition is met, and so forth.) Additionally, if the virtual object  414  has an associated score value (increase or decrease), the user&#39;s score is adjusted accordingly and the status information  912  updated. In the case of a race, crossing the virtual finish line  914  will end the race (and the flowchart  1300 ) and the status information  912  will show a final time, score and race position as appropriate. 
     For virtual objects  414  that are associated with an immediate change in the performance, the method proceeds at operation  1316 , where an instruction or signal is transmitted to the scooter  300  from the client device  404  or the glasses  100  to alter the performance characteristics of the scooter  300  according to the characteristics of the virtual object  414 . The method then returns to operation  1304  and proceeds from there. 
     For virtual objects  414  that are associated with a delayed or selectable change in performance, the method proceeds at operation  1318 , where the virtual object is transferred to a new location, typically in a local frame of reference of the glasses  100  or scooter  300  as described above with reference to  FIG.  6    for example, where an input can be received from a user  402  to activate the performance altering characteristics corresponding to the virtual object  414  at a time of the user&#39;s choosing. The user has thus effectively acquired the virtual object  414 . 
     Upon receipt of selection of the virtual object in operation  1320  (for example as discussed above with reference to  FIG.  6   ), an instruction or signal is transmitted to the scooter  300  from the client device  404  or the glasses  100  in operation  1322  to alter the performance characteristics of the scooter  300  according to the characteristics of the virtual object  414 . The method then returns to operation  1304  and proceeds from there. 
     Once commenced, the operations of flowchart  1300  will continue for each participant with the display of information and virtual objects  414  continuing as discussed above with reference to  FIG.  5    to  FIG.  9    continuing until the participant crosses the finish line  1108  as determined by one or more of their client device  404 , glasses  100  or scooter  300  comparing its location to the location of the finish line. 
     As the participants cross the finish line, the status information  912  is updated for each participant, to show their finishing position, finishing time, score, and any related or derived information, such as an event or season leaderboard. Additional AR effects, such as streamers or fireworks could also be provided. Each participant is then able to share their results, screen shots, video recordings, and so forth, via a messaging application  1608  or social media application within which the method runs or is associated. 
       FIG.  14    is a flowchart  1400  showing course generation, according to one example. The operations illustrated in  FIG.  13    will typically execute on a combination of client device  404  and glasses  100 , although the operations may execute exclusively in client device  404  or in a combination of the client device  404  and one or all of glasses  100 , scooter  300  and server  410 . For clarity, the flowchart is described in this example as executing on a client device  404 . 
     The flowchart  1400  commences with receipt by the client device  404  of an input to generate a course at operation  1402 . This may for example be the selection of a dedicated application on the client device, or the selection of the course generation feature from within a messaging or social media or other application. In response to this selection, various options for course generation will be displayed in a user interface on the client device, including options for manual or automatic course generation. 
     In response to receiving a manual course generation input at operation  1404 , the client device  404  displays the user interfaces  1002  of  FIG.  10    with a map  1004  that is initially based on the location of the client device  404 , but which can be panned to a new location, or the location can be altered in response to search input provided by the user. At operation  1408 , the client device  404  (via the relevant application) receives course creation input as discussed above with reference to  FIG.  10    and  FIG.  11    to create the course. Course editing input is then received in operation  1410  to edit, modify or add features as discussed above with reference to  FIG.  11    and  FIG.  12   . 
     In response to receiving a “record course” input at operation  1404 , the client device  404  displays a user interface with a “Start Recording” prompt. A user interface for course recording is likely to be displayed on the glasses  100  instead of or in addition to on the client device  404  for more convenient user input while riding the course. 
     At operation  1406 , the glasses  100  or client device  404  (via the relevant application) receives user input to begin recording the course, for example by a tap input on a touchpad of the glasses  100  or by voice input. The glasses  100  or client device  404  then captures the initial location of the glasses  100 , client device  404  or scooter  300  in operation  1412 . Location information is provided by relevant hardware in the relevant device, including for example position components  1708  and motion components  1706  (see  FIG.  17   ), such as a GPS receiver. The initial location is marked as the location of the start of the course. The user  402  then proceeds to ride the intended course and a “Stop Recording” prompt is displayed, again likely on the glasses  100  instead of or in addition to the client device  404 . 
     If a “Stop Recording” input is not received at operation  1414 , the glasses or client device continues to capture the location of the glasses  100 , client device  404  or scooter  300  until a “Stop Recording” input is received. The location at which this input is received is then marked as the finish line of the course, and the course is generated by the client device in operation  1416  from the sequence of locations captured by the glasses  100  or client device  404  during recording. The user interface  1102  of  FIG.  11    is then displayed and course editing input is then received in operation  1418  to edit, modify or add features as discussed above with reference to  FIG.  11    and  FIG.  12   . 
     After the completion of any course editing in operation  1410  or operation  1418 , the client device  404  receives input in operation  1420  to save, share or delete the course, and takes the corresponding action in response to received input. 
       FIG.  15    is a block diagram  1500  illustrating a networked device  1502  including details of the glasses  100  and the scooter  300 , in accordance with some examples. 
     The networked device  1502  (e.g., glasses  100 , scooter  300 , client device  404 ) is communicatively coupled to at least one second networked device  1504  and a server system  1508 . The distinction between the networked device  1502  and the second networked device  1504  is made only for purpose of differentiating between two distinct devices. It should be understood that the description made herein with respect to the networked device  1502  describes in equal measure the second networked device  1504 . 
     The networked device  1502  is capable of communicatively coupling with the second networked device  1504  using both a low-power wireless connection  1510  and a high-speed wireless connection  11512 . The second networked device  1504  is connected to the server system  1508  via the network  1506 . The network  1506  may include any combination of wired and wireless connections. The server system  1508  may be one or more computing devices as part of a service or network computing system. The second networked device  1504  and any elements of the server system  1508  and network  1506  may be implemented using details of the software architecture  1602  or the machine  1700  described in  FIG.  16    and  FIG.  17   . 
     The networked device  1502  may include a data processor  1514 , displays  1516 , one or more cameras  1518 , input/output elements  1520 , and additional sensors  1522 . The input/output elements  1520  may include microphones, audio speakers, biometric sensors, or additional display elements (e.g., Visual feedback element  332 ) integrated with the data processor  1511 . In some implementations, input/output elements  1520  such as speakers, horns, haptic generators, displays and head lights/signal/telltale lights all are used to cue the user of a networked device  1502  of safety issues, warn the rider visually, aurally, or haptic notice of a safety issue. Examples of input/output elements  1520  are discussed further with respect to  FIG.  16    and  FIG.  17   . For example, the input/output elements  1520  may include any of I/O components  1702  including output components  1704 , motion components  1706 , and so forth. Examples of the displays  1516  are discussed in  FIG.  1    and  FIG.  2   . In the particular examples described herein, the displays  1516  include a display for each one of a user&#39;s left and right eyes. 
     Sensors  1522  may include optical sensors (e.g., photoresistors, lidar, infrared), radio frequency sensors (e.g., radar), mechanical wave sensors (e.g., sonar, pressure), and inertial sensors (e.g., accelerometers, gyroscopes, magnetometers). The networked device  1502  may use some or all of the foregoing in order to detect physical objects or determine a position or pose of the networked device  1502 . For example, inertial sensors may provide information on the roll, yaw, and pitch of the networked device  1502 . The networked device  1502  may use this information to detect and notify the user of accidents or other impacts, detect uphill travel to increase power to a propulsion source (e.g., propulsion source  322 ), or detect downhill travel to establish system braking or power recovery to keep the networked device  1502  (or the second networked device  1504 ) from exceeding safe speeds and accelerations. Integration with accelerometer/speedometer data also provides significant data for the networked device  1502  to detect, intervene if necessary, and transmit instructions to drive propulsion (e.g., by the management system  324  to the propulsion source  322 ) and braking performance. 
     The data processor  1514  includes an image processor  1524  (e.g., a video processor), a GPU &amp; display driver  1526 , a tracking module  1528 , low-power circuitry  1530 , and high-speed circuitry  1532 . The components of the data processor  1514  are interconnected by a bus  1534 . 
     The data processor  1514  also includes an interface  1536 . The interface  1536  refers to any source of a user command that is provided to the data processor  1514 . In one or more examples, the interface  1536  is a physical button that, when depressed, sends a user input signal from the interface  1536  to a low-power processor  1538 . A depression of such button followed by an immediate release may be processed by the low-power processor  1538  as a request to capture a single image, or vice versa. A depression of such a button for a first period of time may be processed by the low-power processor  1538  as a request to capture video data while the button is depressed, and to cease video capture when the button is released, with the video captured while the button was depressed stored as a single video file. Alternatively, depression of a button for an extended period of time may capture a still image. In other examples, the interface  1536  may be any mechanical switch or physical interface capable of accepting user inputs associated with a request for data from the cameras  1518 . In other examples, the interface  1536  may have a software component, or may be associated with a command received wirelessly from another source, such as from the client device  404 . 
     The image processor  1524  includes circuitry to receive signals from the cameras  1518  and process those signals from the cameras  1518  into a format suitable for storage in the memory  1544  or for transmission to the client device  404 . In one or more examples, the image processor  1524  (e.g., video processor) comprises a microprocessor integrated circuit (IC) customized for processing sensor data from the cameras  1518 , along with volatile memory used by the microprocessor in operation. 
     The low-power circuitry  1530  includes the low-power processor  1538  and the low-power wireless circuitry  1540 . These elements of the low-power circuitry  1530  may be implemented as separate elements or may be implemented on a single IC as part of a system on a single chip. The low-power processor  1538  includes logic for managing the other elements of the networked device  1502 . As described above, for example, the low-power processor  1538  may accept user input signals from the interface  1536 . The low-power processor  1538  may also be configured to receive input signals or instruction communications from the client device  404  via the low-power wireless connection  1510 . The low-power wireless circuitry  1540  includes circuit elements for implementing a low-power wireless communication system. Bluetooth™ Smart, also known as Bluetooth™ low energy, is one standard implementation of a low power wireless communication system that may be used to implement the low-power wireless circuitry  1540 . In other examples, other low power communication systems may be used. 
     The high-speed circuitry  1532  includes a high-speed processor  1542 , a memory  1544 , and a high-speed wireless circuitry  1546 . The high-speed processor  1542  may be any processor capable of managing high-speed communications and operation of any general computing system needed for the data processor  1514 . The high-speed processor  1542  includes processing resources needed for managing high-speed data transfers on the high-speed wireless connection  1512  using the high-speed wireless circuitry  1546 . In certain examples, the high-speed processor  1542  executes an operating system such as a LINUX operating system or other such operating system such as the operating system  1604  of  FIG.  16   . In addition to any other responsibilities, the high-speed processor  1542  executing a software architecture for the data processor  1514  is used to manage data transfers with the high-speed wireless circuitry  1546 . In certain examples, the high-speed wireless circuitry  1546  is configured to implement Institute of Electrical and Electronic Engineers (WEE) 802.11 communication standards, also referred to herein as Wi-Fi. In other examples, other high-speed communications standards may be implemented by the high-speed wireless circuitry  1546 . 
     The memory  1544  includes any storage device capable of storing camera data generated by the cameras  1518  and the image processor  1524 . While the memory  1544  is shown as integrated with the high-speed circuitry  1532 , in other examples, the memory  1544  may be an independent standalone element of the data processor  1514 . In certain such examples, electrical routing lines may provide a connection through a chip that includes the high-speed processor  1542  from image processor  1524  or the low-power processor  1538  to the memory  1544 . In other examples, the high-speed processor  1542  may manage addressing of the memory  1544  such that the low-power processor  1538  will boot the high-speed processor  1542  any time that a read or write operation involving the memory  1544  is needed. 
     The tracking module  1528  estimates a pose of the networked device  1502 . For example, the tracking module  1528  uses image data and corresponding inertial data from the cameras  1518  and the position components  1708 , as well as GPS data, to track a location and determine a pose of the networked device  1502  relative to a frame of reference (e.g., real-world environment). The tracking module  1528  continually gathers and uses updated sensor data describing movements of the networked device  1502  to determine updated three-dimensional poses of the networked device  1502  that indicate changes in the relative position and orientation relative to physical objects in the real-world environment. 
     In the glasses  100  implementation of the networked device  1502 , the tracking module  1528  permits visual placement of virtual objects relative to physical objects by the networked device  1502  within the field of view of the user via the displays  1516 . The GPU &amp; display driver  1526  may use the pose of the networked device  1502  or the second networked device  1504  to generate frames of virtual content or other content to be presented on the displays  1516  when the networked device  1502  is functioning in a traditional augmented reality mode. In this mode, the GPU &amp; display driver  1526  generates updated frames of virtual content based on updated three-dimensional poses of the networked device  1502  and/or the second networked device  1504 , which reflect changes in the position and orientation of the user in relation to physical objects in the user&#39;s real-world environment. 
     One or more functions or operations described herein may also be performed in an application resident on the networked device  1502 , on the second networked device  1504 , or a server system  1508 . For example, one or more functions or operations described herein may be performed by one of the applications  1606  such as messaging application  1608 . 
       FIG.  16    is a block diagram  1600  illustrating a software architecture  1602 , which can be installed on any one or more of the devices described herein. The software architecture  1602  is supported by hardware such as a machine  1610  that includes processors  1612 , memory  1614 , and I/O components  1616 . In this example, the software architecture  1602  can be conceptualized as a stack of layers, where each layer provides a particular functionality. The software architecture  1602  includes layers such as an operating system  1604 , libraries  1618 , frameworks  1620 , and applications  1606 . Operationally, the applications  1606  invoke API calls  1622  through the software stack and receive messages  1624  in response to the API calls  1622 . 
     The operating system  1604  manages hardware resources and provides common services. The operating system  1604  includes, for example, a kernel  1626 , services  1628 , and drivers  1630 . The kernel  1626  acts as an abstraction layer between the hardware and the other software layers. For example, the kernel  1626  provides memory management, processor management (e.g., scheduling), component management, networking, and security settings, among other functionalities. The services  1628  can provide other common services for the other software layers. The drivers  1630  are responsible for controlling or interfacing with the underlying hardware. For instance, the drivers  1630  can include display drivers, camera drivers, BLUETOOTH® or BLUETOOTH® Low Energy drivers, flash memory drivers, serial communication drivers (e.g., Universal Serial Bus (USB) drivers), WI-FI® drivers, audio drivers, power management drivers, and so forth. 
     The libraries  1618  provide a low-level common infrastructure used by the applications  1606 . The libraries  1618  can include system libraries  1632  (e.g., C standard library) that provide functions such as memory allocation functions, string manipulation functions, mathematic functions, and the like. In addition, the libraries  1618  can include API libraries  1634  such as media libraries (e.g., libraries to support presentation and manipulation of various media formats such as Moving Picture Experts Group-4 (MPEG4), Advanced Video Coding (H.264 or AVC), Moving Picture Experts Group Layer-3 (MP3), Advanced Audio Coding (AAC), Adaptive Multi-Rate (AMR) audio codec, Joint Photographic Experts Group (JPEG or JPG), or Portable Network Graphics (PNG)), graphics libraries (e.g., an OpenGL framework used to render in two dimensions (2D) and three dimensions (3D) in a graphic content on a display), database libraries (e.g., SQLite to provide various relational database functions), web libraries (e.g., WebKit to provide web browsing functionality), and the like. The libraries  1618  can also include a wide variety of other libraries  1636  to provide many other APIs to the applications  1606 . 
     The frameworks  1620  provide a high-level common infrastructure that is used by the applications  1606 . For example, the frameworks  1620  provide various graphical user interface (GUI) functions, high-level resource management, and high-level location services. The frameworks  1620  can provide a broad spectrum of other APIs that can be used by the applications  1606 , some of which may be specific to a particular operating system or platform. 
     In an example, the applications  1606  may include a home application  1638 , a contacts application  1640 , a browser application  1642 , a book reader application  1644 , a location application  1646 , a media application  1648 , a messaging application  1608 , a game application  1650 , and a broad assortment of other applications such as third-party applications  1652 . The applications  1606  are programs that execute functions defined in the programs. Various programming languages can be employed to create one or more of the applications  1606 , structured in a variety of manners, such as object-oriented programming languages (e.g., Objective-C, Java, or C++) or procedural programming languages (e.g., C or assembly, language). In a specific example, the third-party applications  1652  (e.g., applications developed using the ANDROID™ or IOS™ software development kit (SDK) by an entity other than the vendor of the particular platform) may be mobile software running on a mobile operating system such as IOS™ ANDROID™, WINDOWS® Phone, or another mobile operating system. In this example, the third-party applications  1652  can invoke the API calls  1622  provided by the operating system  1604  to facilitate functionality described herein. 
       FIG.  17    is a diagrammatic representation of a machine  1700  within which instructions  1710  (e.g., software, a program, an application, an applet, an app, or other executable code) for causing the machine  1700  to perform any one or more of the methodologies discussed herein may be executed. For example, the instructions  1710  may cause the machine  1700  to execute any one or more of the methods described herein. The instructions  1710  transform the general, non-programmed machine  1700  into a particular machine  1700  programmed to carry out the described and illustrated functions in the manner described. The machine  1700  may operate as a standalone device or may be coupled (e.g., networked) to other machines. In a networked deployment, the machine  1700  may operate in the capacity of a server machine or a client machine in a server-client network environment, or as a peer machine in a peer-to-peer (or distributed) network environment. The machine  1700  may comprise, but not be limited to, a server computer, a client computer, a personal computer (PC), a tablet computer, a laptop computer, a netbook, a set-top box (SIB), a PDA, an entertainment media system, a cellular telephone, a smart phone, a mobile device, a AR wearable device (e.g., a smart watch), a smart home device (e.g., a smart appliance), other smart devices, a web appliance, a network router, a network switch, a network bridge, or any machine capable of executing the instructions  1710 , sequentially or otherwise, that specify actions to be taken by the machine  1700 . Further, while only a single machine  1700  is illustrated, the term “machine” shall also be taken to include a collection of machines that individually or jointly execute the instructions  1710  to perform any one or more of the methodologies discussed herein. 
     The machine  1700  may include processors  1712 , memory  1714 , and I/O components  1702 , which may be configured to communicate with each other via a bus  1716 . In an example, the processors  1712  (e.g., a Central Processing Unit (CPU), a Reduced Instruction Set Computing (RISC) processor, a Complex Instruction Set Computing (CISC) processor, a Graphics Processing Unit (GPU), a Digital Signal Processor (DSP), an ASIC, a Radio-Frequency Integrated Circuit (RFIC), another processor, or any suitable combination thereof) may include, for example, a processor  1718  and a processor  1720  that execute the instructions  1710 . The term “processor” is intended to include multi-core processors that may comprise two or more independent processors (sometimes referred to as “cores”) that may execute instructions contemporaneously. Although  FIG.  17    shows multiple processors  1712 , the machine  1700  may include a single processor with a single core, a single processor with multiple cores (e.g., a multi-core processor), multiple processors with a single core, multiple processors with multiples cores, or any combination thereof. 
     The memory  1714  includes a main memory  1722 , a static memory  1724 , and a storage unit  1726 , both accessible to the processors  1712  via the bus  1716 . The main memory  1714 , the static memory  1724 , and storage unit  1726  store the instructions  1710  embodying any one or more of the methodologies or functions described herein. The instructions  1710  may also reside, completely or partially, within the main memory  1722 , within the static memory  1724 , within machine-readable medium  1728  within the storage unit  1726 , within at least one of the processors  1712  (e.g., within the processor&#39;s cache memory), or any suitable combination thereof, during execution thereof by the networked device  1502 . 
     The I/O components  1702  may include a wide variety of components to receive input, provide output, produce output, transmit information, exchange information, capture measurements, and so on. The specific I/O components  1702  that are included in a particular machine will depend on the type of machine. For example, portable machines such as mobile phones may include a touch input device or other such input mechanisms, while a headless server machine will likely not include such a touch input device. It will be appreciated that the I/O components  1702  may include many other components that are not shown in  FIG.  17   . In various examples, the I/O components  1702  may include output components  1704  and input components  1730 . The output components  1704  may include visual components (e.g., a display such as a plasma display panel (PDP), a light emitting diode (LED) display, a liquid crystal display (LCD), a projector, or a cathode ray tube (CRT)), acoustic components (e.g., speakers), haptic components (e.g., a vibratory motor, resistance mechanisms), other signal generators, and so forth. The input components  1730  may include alphanumeric input components (e.g., a keyboard, a touch screen configured to receive alphanumeric input, a photo-optical keyboard, or other alphanumeric input components), point-based input components (e.g., a mouse, a touchpad, a trackball, a joystick, a motion sensor, or another pointing instrument), tactile input components (e.g., a physical button, a touch screen that provides location and/or force of touches or touch gestures, or other tactile input components), audio input components (e.g., a microphone), and the like. 
     In further examples, the I/O components  1702  may include biometric components  1732 , motion components  1706 , environmental components  1734 , or position components  1708 , among a wide array of other components. For example, the biometric components  1732  include components to detect expressions (e.g., hand expressions, facial expressions, vocal expressions, body gestures, or eye tracking), measure bio-signals (e.g., blood pressure, heart rate, body temperature, perspiration, or brain waves), identify a person (e.g., voice identification, retinal identification, facial identification, fingerprint identification, or electroencephalogram-based identification), and the like. The motion components  1706  include acceleration sensor components (e.g., accelerometer), gravitation sensor components, rotation sensor components (e.g., gyroscope), and so forth. The environmental components  1734  include, for example, illumination sensor components (e.g., photometer), temperature sensor components (e.g., one or more thermometers that detect ambient temperature), humidity, sensor components, pressure sensor components (e.g., barometer), acoustic sensor components (e.g., one or more microphones that detect background noise), proximity sensor components (e.g., infrared sensors that detect nearby objects), gas sensors (e.g., gas detection sensors to detection concentrations of hazardous gases for safety or to measure pollutants in the atmosphere), or other components that may provide indications, measurements, or signals corresponding to a surrounding physical environment. The position components  1708  include location sensor components (e.g., a GPS receiver component), altitude sensor components (e.g., altimeters or barometers that detect air pressure from which altitude may be derived), orientation sensor components (e.g., magnetometers), and the like. 
     Communication may be implemented using a wide variety of technologies. The I/O components  1702  further include communication components  1736  operable to couple the networked device  1502  to a network  1738  or devices  1740  via a coupling  1742  and a coupling  1744 , respectively. For example, the communication components  1736  may include a network interface component or another suitable device to interface with the network  1738 . In further examples, the communication components  1736  may include wired communication components, wireless communication components, cellular communication components, Near Field Communication (NFC) components, Bluetooth® components (e.g., Bluetooth® Low Energy), Wi-Fi® components, and other communication components to provide communication via other modalities. The devices  1740  may be another machine or any of a wide variety of peripheral devices (e.g., a peripheral device coupled via a USB). 
     Moreover, the communication components  1736  may detect identifiers or include components operable to detect identifiers. For example, the communication components  1736  may include Radio Frequency Identification (RFID) tag reader components, NFC smart tag detection components, optical reader components (e.g., an optical sensor to detect one-dimensional bar codes such as Universal Product Code (UPC) bar code, multi-dimensional bar codes such as Quick Response (QR) code, Aztec code, Data Matrix, Dataglyph, MaxiCode, PDF417, Ultra Code, UCC RSS-2D bar code, and other optical codes), or acoustic detection components (e.g., microphones to identify tagged audio signals). In addition, a variety of information may be derived via the communication components  1736 , such as location via Internet Protocol (IP) geolocation, location via Wi-Fi® signal triangulation, location via detecting an NFC beacon signal that may indicate a particular location, and so forth. 
     The various memories (e.g., memory  1714 , main memory  1722 , static memory  1724 , and/or memory of the processors  1712 ) and/or storage unit  1726  may store one or more sets of instructions and data structures (e.g., software) embodying or used by any one or more of the methodologies or functions described herein. These instructions (e.g., the instructions  1710 ), when executed by processors  1712 , cause various operations to implement the disclosed examples. 
     The instructions  1710  may be transmitted or received over the network  1738 , using a transmission medium, via a network interface device (e.g., a network interface component included in the communication components  1736 ) and using any one of a number of well-known transfer protocols (e.g., hypertext transfer protocol (HTTP)). Similarly, the instructions  1710  may be transmitted or received using a transmission medium via the coupling  1744  (e.g., a peer-to-peer coupling) to the devices  1740 . 
     A “carrier signal” refers to any intangible medium that is capable of storing, encoding, or carrying instructions for execution by the machine, and includes digital or analog communications signals or other intangible media to facilitate communication of such instructions. Instructions may be transmitted or received over a network using a transmission medium via a network interface device. 
     A “client device” refers to any machine that interfaces to a communications network to obtain resources from one or more server systems or other client devices. A client device may be, but is not limited to, a mobile phone, desktop computer, laptop, portable digital assistants (PDAs), smartphones, tablets, ultrabooks, netbooks, laptops, multi-processor systems, microprocessor-based or programmable consumer electronics, game consoles, set-top boxes, or any other communication device that a user may use to access a network. 
     A “communication network” refers to one or more portions of a network that may be an ad hoc network, an intranet, an extranet, a virtual private network (VPN), a local area network (LAN), a wireless LAN (WLAN), a wide area network (WAN), a wireless WAN (WWAN), a metropolitan area network (MAN), the Internet, a portion of the Internet, a portion of the Public Switched. Telephone Network (PSTN), a plain old telephone service (POTS) network, a cellular telephone network, a wireless network, a Wi-Fi® network, another type of network, or a combination of two or more such networks. For example, a network or a portion of a network may include a wireless or cellular network and the coupling may be a Code Division Multiple Access (CDMA) connection, a Global System for Mobile communications (GSM) connection, or other types of cellular or wireless coupling. In this example, the coupling may implement any of a variety of types of data transfer technology, such as Single Carrier Radio Transmission Technology (1×RTT), Evolution-Data Optimized (ENDO) technology, General Packet Radio Service (GPRS) technology, Enhanced. Data rates for GSM Evolution (EDGE) technology, third Generation Partnership Project (3GPP) including 3G, fourth generation wireless (4G) networks, Universal Mobile Telecommunications System (UMTS), High Speed Packet Access (HSPA), Worldwide Interoperability for Microwave Access (WiMAX), Long Term Evolution (LIE) standard, others defined by various standard-setting organizations, other long-range protocols, or other data transfer technology. 
     A “component” refers to a device, physical entity, or logic having boundaries defined by function or subroutine calls, branch points, APIs, or other technologies that provide for the partitioning or modularization of particular processing or control functions. Components may be combined via their interfaces with other components to carry out a machine process. A component may be a packaged functional hardware unit designed for use with other components and a part of a program that usually performs a particular function of related functions. Components may constitute either software components (e.g., code embodied on a machine-readable medium) or hardware components. A “hardware component” is a tangible unit capable of performing certain operations and may be configured or arranged in a certain physical manner. In various examples, one or more computer systems (e.g., a standalone computer system, a client computer system, or a server computer system) or one or more hardware components of a computer system (e.g., a processor or a group of processors) may be configured by software (e.g., an application or application portion) as a hardware component that operates to perform certain operations as described herein. A hardware component may also be implemented mechanically, electronically, or any suitable combination thereof. For example, a hardware component may include dedicated circuitry or logic that is permanently configured to perform certain operations. A hardware component may be a special-purpose processor, such as a field-programmable gate array (FPGA) or an application specific integrated circuit (ASIC). A hardware component may also include programmable logic or circuitry that is temporarily configured by software to perform certain operations. For example, a hardware component may include software executed by a general-purpose processor or other programmable processor. Once configured by such software, hardware components become specific machines (or specific components of a machine) uniquely tailored to perform the configured functions and are no longer general-purpose processors. It will be appreciated that the decision to implement a hardware component mechanically, in dedicated and permanently configured circuitry, or in temporarily configured circuitry (e.g., configured by software), may be driven by cost and time considerations. Accordingly, the phrase “hardware componenent” (or “hardware-implemented component”) should be understood to encompass a tangible entity, be that an entity that is physically constructed, permanently configured (e.g., hardwired), or temporarily configured (e.g., programmed) to operate in a certain manner or to perform certain operations described herein. Considering examples in which hardware components are temporarily configured (e.g., programmed), each of the hardware components need not be configured or instantiated at any one instance in time. For example, where a hardware component comprises a general-purpose processor configured by software to become a special-purpose processor, the general-purpose processor may be configured as respectively different special-purpose processors (e.g., comprising different hardware components) at different times. Software accordingly configures a particular processor or processors, for example, to constitute a particular hardware component at one instance of time and to constitute a different hardware component at a different instance of time. Hardware components can provide information to, and receive information from, other hardware components. Accordingly, the described hardware components may be regarded as being communicatively coupled. Where multiple hardware components exist contemporaneously, communications may be achieved through signal transmission (e.g., over appropriate circuits and buses) between or among two or more of the hardware components in examples in which multiple hardware components are configured or instantiated at different times, communications between such hardware components may be achieved, for example, through the storage and retrieval of information in memory structures to which the multiple hardware components have access. For example, one hardware component may perform an operation and store the output of that operation in a memory device to which it is communicatively coupled. A further hardware component may then, at a later time, access the memory device to retrieve and process the stored output. Hardware components may also initiate communications with input or output devices, and can operate on a resource (e.g., a collection of information). The various operations of example methods described herein may be performed, at least partially, by one or more processors that are temporarily configured (e.g., by software) or permanently configured to perform the relevant operations. Whether temporarily or permanently configured, such processors may constitute processor-implemented components that operate to perform one or more operations or functions described herein. As used herein, “processor-implemented component” refers to a hardware component implemented using one or more processors. Similarly, the methods described herein may be at least partially processor-implemented, with a particular processor or processors being an example of hardware. For example, at least some of the operations of a method may be performed by one or more processors or processor-implemented components. Moreover, the one or more processors may also operate to support performance of the relevant operations in a “cloud computing” environment or as a “software as a service” (SaaS). For example, at least some of the operations may be performed by a group of computers (as examples of machines including processors), with these operations being accessible via a network (e.g., the Internet) and via one or more appropriate interfaces (e.g., an API). The performance of certain of the operations may, be distributed among the processors, not only residing within a single machine, but deployed across a number of machines. In some examples, the processors or processor-implemented components may be located in a single geographic location (e.g., within a home environment, an office environment, or a server farm). In other examples, the processors or processor-implemented components may be distributed across a number of geographic locations. 
     A “computer-readable medium” refers to both machine-storage media and transmission media. Thus, the terms include both storage devices/media and carrier waves/modulated data signals. The terms “machine-readable medium,” “computer-readable medium” and “device-readable medium” mean the same thing and may be used interchangeably in this disclosure. 
     An “ephemeral message” refers to a message that is accessible for a time-limited duration. An ephemeral message may be a text, an image, a video, and the like. The access time for the ephemeral message may be set by the message sender. Alternatively, the access time may be a default setting, or a setting specified by the recipient. Regardless of the setting technique, the message is transitory. 
     A “machine-storage medium” refers to a single or multiple storage devices and/or media (e.g., a centralized or distributed database, and/or associated caches and servers) that store executable instructions, routines and/or data. The term shall accordingly be taken to include, but not be limited to, solid-state memories, and optical and magnetic media, including memory internal or external to processors. Specific examples of machine-storage media, computer-storage media and/or device-storage media include non-volatile memory, including by way of example semiconductor memory devices, e.g., erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), FPGA, and flash memory devices; magnetic disks such as internal hard disks and removable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks The terms “machine-storage medium,” “device-storage medium,” “computer-storage medium” mean the same thing and may be used interchangeably in this disclosure. The terms “machine-storage media,” “computer-storage media.” and “device-storage media” specifically exclude carrier waves, modulated data signals, and other such media, at least some of which are covered under the term “signal medium.” 
     A “processor” refers to any circuit or virtual circuit (a physical circuit emulated by logic executing on an actual processor) that manipulates data values according to control signals (e.g., “commands”, “op codes”, “machine code”, and so forth) and which produces corresponding output signals that are applied to operate a machine. A processor may, for example, be a Central Processing Unit (CPU), a Reduced Instruction Set Computing (RISC) processor, a Complex Instruction Set Computing (CISC) processor, a Graphics Processing Unit (GPU), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Radio-Frequency Integrated Circuit (R FIC) or any combination thereof. A processor may further be a multi-core processor having two or more independent processors (sometimes referred to as “cores”) that may execute instructions contemporaneously. 
     A “signal medium” refers to any intangible medium that is capable of storing, encoding, or carrying the instructions for execution by a machine and includes digital or analog communications signals or other intangible media to facilitate communication of software or data. The term “signal medium” shall be taken to include any form of a modulated data signal, carrier wave, and so forth. The term “modulated data signal” means a signal that has one or more of its characteristics set or changed in such a matter as to encode information in the signal. The terms “transmission medium” and “signal medium” mean the same thing and may be used interchangeably in this disclosure. 
     Changes and modifications may be made to the disclosed examples without departing from the scope of the present disclosure. These and other changes or modifications are intended to be included within the scope of the present disclosure, as expressed in the following claims.