Patent Description:
The present subject matter relates to an eyewear device, e.g., smart glasses.

Portable eyewear devices, such as smart glasses, headwear, and headgear available today integrate cameras and see-through displays. An example is provided by the US patent application publication <CIT>, which discloses glasses (eyewear) for augmented reality comprising a speech recognizer, a visual recognizer, and a display for overlaying information corresponding to each object identified by the visual recognizer in the field of vision. Users with less than perfect hearing may have issues with using these eyewear devices.

The drawing figures depict one or more implementations, by way of example only, not by way of limitations.

This disclosure includes examples of eyewear having a speech to moving lips algorithm that receives and translates speech and utterances of a person viewed through the eyewear, and then displays an overlay of moving lips corresponding to the speech and utterances on a mask of the viewed person. A database having text to moving lips information is utilized to translate the speech and generate the moving lips in near-real time with little latency. This translation provides the deaf/hearing impaired users the ability to understand and communicate with the person viewed through the eyewear when they are wearing a mask. The translation may include automatic speech recognition (ASR) and natural language understanding (NLU) as a sound recognition engine.

Additional objects, advantages and novel features of the examples will be set forth in part in the description which follows, and in part will become apparent to those skilled in the art upon examination of the following and the accompanying drawings or may be learned by production or operation of the examples. The objects and advantages of the present subject matter may be realized and attained by means of the methodologies, instrumentalities and combinations particularly pointed out in the appended claims.

In the following detailed description, numerous specific details are set forth by way of examples in order to provide a thorough understanding of the relevant teachings. However, it should be apparent to those skilled in the art that the present teachings may be practiced without such details. In other instances, well known methods, procedures, components, and circuitry have been described at a relatively high-level, without detail, in order to avoid unnecessarily obscuring aspects of the present teachings.

The term "coupled" as used herein refers to any logical, optical, physical or electrical connection, link or the like by which signals or light produced or supplied by one system element are imparted to another coupled element. Unless described otherwise, coupled elements or devices are not necessarily directly connected to one another and may be separated by intermediate components, elements or communication media that may modify, manipulate or carry the light or signals.

The orientations of the eyewear device, associated components and any complete devices incorporating an eye scanner and camera such as shown in any of the drawings, are given by way of example only, for illustration and discussion purposes. In operation for a particular variable optical processing application, the eyewear device may be oriented in any other direction suitable to the particular application of the eyewear device, for example up, down, sideways, or any other orientation. Also, to the extent used herein, any directional term, such as front, rear, inwards, outwards, towards, left, right, lateral, longitudinal, up, down, upper, lower, top, bottom and side, are used by way of example only, and are not limiting as to direction or orientation of any optic or component of an optic constructed as otherwise described herein.

<FIG> is a side view of an example hardware configuration of an eyewear device <NUM>, which includes a right optical assembly 180B with an image display 180D (<FIG>). Eyewear device <NUM> includes multiple visible light cameras 114A-B (<FIG>) that form a stereo camera, of which the right visible light camera 114B is located on a right temple 110B.

The left and right visible light cameras 114A-B have an image sensor that is sensitive to the visible light range wavelength. Each of the visible light cameras 114A-B have a different frontward facing angle of coverage, for example, visible light camera 114B has the depicted angle of coverage 111B. The angle of coverage is an angle range which the image sensor of the visible light camera 114A-B picks up electromagnetic radiation and generates images. Examples of such visible lights camera 114A-B include a high-resolution complementary metal-oxide-semiconductor (CMOS) image sensor and a video graphic array (VGA) camera, such as 640p (e.g., <NUM> x <NUM> pixels for a total of <NUM> megapixels), 720p, or 1080p. Image sensor data from the visible light cameras 114A-B are captured along with geolocation data, digitized by an image processor, and stored in a memory.

To provide stereoscopic vision, visible light cameras 114A-B may be coupled to an image processor (element <NUM> of <FIG>) for digital processing along with a timestamp in which the image of the scene is captured. Image processor <NUM> includes circuitry to receive signals from the visible light camera 114A-B and process those signals from the visible light cameras 114A-B into a format suitable for storage in the memory (element <NUM> of <FIG>). The timestamp can be added by the image processor <NUM> or other processor, which controls operation of the visible light cameras 114A-B. Visible light cameras 114A-B allow the stereo camera to simulate human binocular vision. Stereo cameras provide the ability to reproduce three-dimensional images (element <NUM> of <FIG>) based on two captured images (elements 758A-B of <FIG>) from the visible light cameras 114A-B, respectively, having the same timestamp. Such three-dimensional images <NUM> allow for an immersive lifelike experience, e.g., for virtual reality or video gaming. For stereoscopic vision, the pair of images 758A-B are generated at a given moment in time - one image for each of the left and right visible light cameras 114A-B. When the pair of generated images 758A-B from the frontward facing angles of coverage 111A-B of the left and right visible light cameras 114A-B are stitched together (e.g., by the image processor <NUM>), depth perception is provided by the optical assembly 180A-B.

In an example, a user interface field of view adjustment system includes the eyewear device <NUM>. The eyewear device <NUM> includes a frame <NUM>, a right temple 110B extending from a right lateral side 170B of the frame <NUM>, and a see-through image display 180D (<FIG>) comprising optical assembly 180B to present a graphical user interface to a user. The eyewear device <NUM> includes the left visible light camera 114A connected to the frame <NUM> or the left temple 110A to capture a first image of the scene. Eyewear device <NUM> further includes the right visible light camera 114B connected to the frame <NUM> or the right temple 110B to capture (e.g., simultaneously with the left visible light camera 114A) a second image of the scene which partially overlaps the first image. Although not shown in <FIG>, the user interface field of view adjustment system further includes the processor <NUM> coupled to the eyewear device <NUM> and connected to the visible light cameras 114A-B, the memory <NUM> accessible to the processor <NUM>, and programming in the memory <NUM>, for example in the eyewear device <NUM> itself or another part of the user interface field of view adjustment system.

Although not shown in <FIG>, the eyewear device <NUM> also includes a head movement tracker (element <NUM> of <FIG>) or an eye movement tracker (element <NUM> of <FIG>). Eyewear device <NUM> further includes the see-through image displays 180C-D of optical assembly 180A-B for presenting a sequence of displayed images, and an image display driver (element <NUM> of <FIG>) coupled to the see-through image displays 180C-D of optical assembly 180A-B to control the image displays 180C-D of optical assembly 180A-B to present the sequence of displayed images <NUM>, which are described in further detail below. Eyewear device <NUM> further includes the memory <NUM> and the processor <NUM> having access to the image display driver <NUM> and the memory <NUM>. Eyewear device <NUM> further includes programming (element <NUM> of <FIG>) in the memory. Execution of the programming by the processor <NUM> configures the eyewear device <NUM> to perform functions, including functions to present, via the see-through image displays 180C-D, an initial displayed image of the sequence of displayed images, the initial displayed image having an initial field of view corresponding to an initial head direction or an initial eye gaze direction (element <NUM> of <FIG>).

Execution of the programming by the processor <NUM> further configures the eyewear device <NUM> to detect movement of a user of the eyewear device by: (i) tracking, via the head movement tracker (element <NUM> of <FIG>), a head movement of a head of the user, or (ii) tracking, via an eye movement tracker (element <NUM> of <FIG>, <FIG>), an eye movement of an eye of the user of the eyewear device <NUM>. Execution of the programming by the processor <NUM> further configures the eyewear device <NUM> to determine a field of view adjustment to the initial field of view of the initial displayed image based on the detected movement of the user. The field of view adjustment includes a successive field of view corresponding to a successive head direction or a successive eye direction. Execution of the programming by the processor <NUM> further configures the eyewear device <NUM> to generate a successive displayed image of the sequence of displayed images based on the field of view adjustment. Execution of the programming by the processor <NUM> further configures the eyewear device <NUM> to present, via the see-through image displays 180C-D of the optical assembly 180A-B, the successive displayed images.

<FIG> is a top cross-sectional view of the temple of the eyewear device <NUM> of <FIG> depicting the right visible light camera 114B, a head movement tracker <NUM>, and a circuit board. Construction and placement of the left visible light camera 114A is substantially similar to the right visible light camera 114B, except the connections and coupling are on the left lateral side 170A. As shown, the eyewear device <NUM> includes the right visible light camera 114B and a circuit board, which may be a flexible printed circuit board (PCB) <NUM>. The right hinge 126B connects the right temple 110B to a right temple arm 125B of the eyewear device <NUM>. In some examples, components of the right visible light camera 114B, the flexible PCB <NUM>, or other electrical connectors or contacts may be located on the right temple arm 125B or the right hinge 126B.

As shown, eyewear device <NUM> has a head movement tracker <NUM>, which includes, for example, an inertial measurement unit (IMU). An inertial measurement unit is an electronic device that measures and reports a body's specific force, angular rate, and sometimes the magnetic field surrounding the body, using a combination of accelerometers and gyroscopes, sometimes also magnetometers. The inertial measurement unit works by detecting linear acceleration using one or more accelerometers and rotational rate using one or more gyroscopes. Typical configurations of inertial measurement units contain one accelerometer, gyro, and magnetometer per axis for each of the three axes: horizontal axis for left-right movement (X), vertical axis (Y) for top-bottom movement, and depth or distance axis for up-down movement (Z). The accelerometer detects the gravity vector. The magnetometer defines the rotation in the magnetic field (e.g., facing south, north, etc.) like a compass which generates a heading reference. The three accelerometers detect acceleration along the horizontal, vertical, and depth axis defined above, which can be defined relative to the ground, the eyewear device <NUM>, or the user wearing the eyewear device <NUM>.

Eyewear device <NUM> detects movement of the user of the eyewear device <NUM> by tracking, via the head movement tracker <NUM>, the head movement of the head of the user. The head movement includes a variation of head direction on a horizontal axis, a vertical axis, or a combination thereof from the initial head direction during presentation of the initial displayed image on the image display. In one example, tracking, via the head movement tracker <NUM>, the head movement of the head of the user includes measuring, via the inertial measurement unit <NUM>, the initial head direction on the horizontal axis (e.g., X axis), the vertical axis (e.g., Y axis), or the combination thereof (e.g., transverse or diagonal movement). Tracking, via the head movement tracker <NUM>, the head movement of the head of the user further includes measuring, via the inertial measurement unit <NUM>, a successive head direction on the horizontal axis, the vertical axis, or the combination thereof during presentation of the initial displayed image.

Tracking, via the head movement tracker <NUM>, the head movement of the head of the user further includes determining the variation of head direction based on both the initial head direction and the successive head direction. Detecting movement of the user of the eyewear device <NUM> further includes in response to tracking, via the head movement tracker <NUM>, the head movement of the head of the user, determining that the variation of head direction exceeds a deviation angle threshold on the horizontal axis, the vertical axis, or the combination thereof. The deviation angle threshold is between about <NUM>° to <NUM>°. As used herein, the term "about" when referring to an angle means ± <NUM>% from the stated amount.

Variation along the horizontal axis slides three-dimensional objects, such as characters, Bitmojis, application icons, etc. in and out of the field of view by, for example, hiding, unhiding, or otherwise adjusting visibility of the three-dimensional object. Variation along the vertical axis, for example, when the user looks upwards, in one example, displays weather information, time of day, date, calendar appointments, etc. In another example, when the user looks downwards on the vertical axis, the eyewear device <NUM> may power down.

The right temple 110B includes temple body <NUM> and a temple cap, with the temple cap omitted in the cross-section of <FIG>. Disposed inside the right temple 110B are various interconnected circuit boards, such as PCBs or flexible PCBs, that include controller circuits for right visible light camera 114B, microphone(s) <NUM>, speaker(s) <NUM>, low-power wireless circuitry (e.g., for wireless short-range network communication via Bluetooth™), high-speed wireless circuitry (e.g., for wireless local area network communication via WiFi).

The right visible light camera 114B is coupled to or disposed on the flexible PCB <NUM> and covered by a visible light camera cover lens, which is aimed through opening(s) formed in the right temple 110B. In some examples, the frame <NUM> connected to the right temple 110B includes the opening(s) for the visible light camera cover lens. The frame <NUM> includes a front-facing side configured to face outwards away from the eye of the user. The opening for the visible light camera cover lens is formed on and through the front-facing side. In the example, the right visible light camera 114B has an outwards facing angle of coverage 111B with a line of sight or perspective of the right eye of the user of the eyewear device <NUM>. The visible light camera cover lens can also be adhered to an outwards facing surface of the right temple 110B in which an opening is formed with an outwards facing angle of coverage, but in a different outwards direction. The coupling can also be indirect via intervening components.

Left (first) visible light camera 114A is connected to the left see-through image display 180C of left optical assembly 180A to generate a first background scene of a first successive displayed image. The right (second) visible light camera 114B is connected to the right see-through image display 180D of right optical assembly 180B to generate a second background scene of a second successive displayed image. The first background scene and the second background scene partially overlap to present a three-dimensional observable area of the successive displayed image.

Flexible PCB <NUM> is disposed inside the right temple 110B and is coupled to one or more other components housed in the right temple 110B. Although shown as being formed on the circuit boards of the right temple 110B, the right visible light camera 114B can be formed on the circuit boards of the left temple 110A, the temple arms 125A-B, or frame <NUM>.

<FIG> is a rear view of an example hardware configuration of an eyewear device <NUM>, which includes an eye scanner <NUM> on a frame <NUM>, for use in a system for determining an eye position and gaze direction of a wearer/user of the eyewear device <NUM>. As shown in <FIG>, the eyewear device <NUM> is in a form configured for wearing by a user, which are eyeglasses in the example of <FIG>. The eyewear device <NUM> can take other forms and may incorporate other types of frameworks, for example, a headgear, a headset, or a helmet.

In the eyeglasses example, eyewear device <NUM> includes the frame <NUM> which includes the left rim 107A connected to the right rim 107B via the bridge <NUM> adapted for a nose of the user. The left and right rims 107A-B include respective apertures 175A-B which hold the respective optical element 180A-B, such as a lens and the see-through displays 180C-D. As used herein, the term lens is meant to cover transparent or translucent pieces of glass or plastic having curved and flat surfaces that cause light to converge/diverge or that cause little or no convergence/divergence.

Although shown as having two optical elements 180A-B, the eyewear device <NUM> can include other arrangements, such as a single optical element depending on the application or intended user of the eyewear device <NUM>. As further shown, eyewear device <NUM> includes the left temple 110A adjacent the left lateral side 170A of the frame <NUM> and the right temple 110B adjacent the right lateral side 170B of the frame <NUM>. The temples 110A-B may be integrated into the frame <NUM> on the respective sides 170A-B (as illustrated) or implemented as separate components attached to the frame <NUM> on the respective sides 170A-B. Alternatively, the temples 110A-B may be integrated into temples (not shown) attached to the frame <NUM>.

In the example of <FIG>, the eye scanner <NUM> includes an infrared emitter <NUM> and an infrared camera <NUM>. Visible light cameras typically include a blue light filter to block infrared light detection, in an example, the infrared camera <NUM> is a visible light camera, such as a low-resolution video graphic array (VGA) camera (e.g., <NUM> x <NUM> pixels for a total of <NUM> megapixels), with the blue filter removed. The infrared emitter <NUM> and the infrared camera <NUM> are co-located on the frame <NUM>, for example, both are shown as connected to the upper portion of the left rim 107A. The frame <NUM> or one or more of the left and right temples 110A-B include a circuit board (not shown) that includes the infrared emitter <NUM> and the infrared camera <NUM>. The infrared emitter <NUM> and the infrared camera <NUM> can be connected to the circuit board by soldering, for example.

Other arrangements of the infrared emitter <NUM> and infrared camera <NUM> can be implemented, including arrangements in which the infrared emitter <NUM> and infrared camera <NUM> are both on the right rim 107B, or in different locations on the frame <NUM>, for example, the infrared emitter <NUM> is on the left rim 107A and the infrared camera <NUM> is on the right rim 107B. In another example, the infrared emitter <NUM> is on the frame <NUM> and the infrared camera <NUM> is on one of the temples 110A-B, or vice versa. The infrared emitter <NUM> can be connected essentially anywhere on the frame <NUM>, left temple 110A, or right temple 110B to emit a pattern of infrared light. Similarly, the infrared camera <NUM> can be connected essentially anywhere on the frame <NUM>, left temple 110A, or right temple 110B to capture at least one reflection variation in the emitted pattern of infrared light.

The infrared emitter <NUM> and infrared camera <NUM> are arranged to face inwards towards an eye of the user with a partial or full field of view of the eye in order to identify the respective eye position and gaze direction. For example, the infrared emitter <NUM> and infrared camera <NUM> are positioned directly in front of the eye, in the upper part of the frame <NUM> or in the temples 110A-B at either ends of the frame <NUM>.

<FIG> is a rear view of an example hardware configuration of another eyewear device <NUM>. In this example configuration, the eyewear device <NUM> is depicted as including an eye scanner <NUM> on a right temple 210B. As shown, an infrared emitter <NUM> and an infrared camera <NUM> are co-located on the right temple 210B. It should be understood that the eye scanner <NUM> or one or more components of the eye scanner <NUM> can be located on the left temple 210A and other locations of the eyewear device <NUM>, for example, the frame <NUM>. The infrared emitter <NUM> and infrared camera <NUM> are like that of <FIG>, but the eye scanner <NUM> can be varied to be sensitive to different light wavelengths as described previously in <FIG>.

Similar to <FIG>, the eyewear device <NUM> includes a frame <NUM> which includes a left rim 107A which is connected to a right rim 107B via a bridge <NUM>; and the left and right rims 107A-B include respective apertures which hold the respective optical elements 180A-B comprising the see-through display 180C-D.

<FIG> are rear views of example hardware configurations of the eyewear device <NUM>, including two different types of see-through image displays 180C-D. In one example, these see-through image displays 180C-D of optical assembly 180A-B include an integrated image display. As shown in <FIG>, the optical assemblies 180A-B includes a suitable display matrix 180C-D of any suitable type, such as a liquid crystal display (LCD), an organic light-emitting diode (OLED) display, a waveguide display, or any other such display. The optical assembly 180A-B also includes an optical layer or layers <NUM>, which can include lenses, optical coatings, prisms, mirrors, waveguides, optical strips, and other optical components in any combination. The optical layers 176A-N can include a prism having a suitable size and configuration and including a first surface for receiving light from display matrix and a second surface for emitting light to the eye of the user. The prism of the optical layers 176A-N extends over all or at least a portion of the respective apertures 175A-B formed in the left and right rims 107A-B to permit the user to see the second surface of the prism when the eye of the user is viewing through the corresponding left and right rims 107A-B. The first surface of the prism of the optical layers 176A-N faces upwardly from the frame <NUM> and the display matrix overlies the prism so that photons and light emitted by the display matrix impinge the first surface. The prism is sized and shaped so that the light is refracted within the prism and is directed towards the eye of the user by the second surface of the prism of the optical layers 176A-N. In this regard, the second surface of the prism of the optical layers 176A-N can be convex to direct the light towards the center of the eye. The prism can optionally be sized and shaped to magnify the image projected by the see-through image displays 180C-D, and the light travels through the prism so that the image viewed from the second surface is larger in one or more dimensions than the image emitted from the see-through image displays 180C-D.

In another example, the see-through image displays 180C-D of optical assembly 180A-B include a projection image display as shown in <FIG>. The optical assembly 180A-B includes a laser projector <NUM>, which is a three-color laser projector using a scanning mirror or galvanometer. During operation, an optical source such as a laser projector <NUM> is disposed in or on one of the temple arms 125A-B of the eyewear device <NUM>. Optical assembly 180A-B includes one or more optical strips 155A-N spaced apart across the width of the lens of the optical assembly 180A-B or across a depth of the lens between the front surface and the rear surface of the lens.

As the photons projected by the laser projector <NUM> travel across the lens of the optical assembly 180A-B, the photons encounter the optical strips 155A-N. When a particular photon encounters a particular optical strip, the photon is either redirected towards the user's eye, or it passes to the next optical strip. A combination of modulation of laser projector <NUM>, and modulation of optical strips, may control specific photons or beams of light. In an example, a processor controls optical strips 155A-N by initiating mechanical, acoustic, or electromagnetic signals. Although shown as having two optical assemblies 180A-B, the eyewear device <NUM> can include other arrangements, such as a single or three optical assemblies, or the optical assembly 180A-B may have arranged different arrangement depending on the application or intended user of the eyewear device <NUM>.

As further shown in <FIG>, eyewear device <NUM> includes a left temple 110A adjacent the left lateral side 170A of the frame <NUM> and a right temple 110B adjacent the right lateral side 170B of the frame <NUM>. The temples 110A-B may be integrated into the frame <NUM> on the respective lateral sides 170A-B (as illustrated) or implemented as separate components attached to the frame <NUM> on the respective sides 170A-B. Alternatively, the temples 110A-B may be integrated into temple arms 125A-B attached to the frame <NUM>.

In one example, the see-through image displays include the first see-through image display 180C and the second see-through image display 180D. Eyewear device <NUM> includes first and second apertures 175A-B which hold the respective first and second optical assembly 180A-B. The first optical assembly 180A includes the first see-through image display 180C (e.g., a display matrix of <FIG> or optical strips 155A-N and a projector <NUM>). The second optical assembly 180B includes the second see-through image display 180D (e.g., a display matrix of <FIG> or optical strips 155A-N and a projector <NUM>). The successive field of view of the successive displayed image includes an angle of view between about <NUM>° to <NUM>, and more specifically <NUM>°, measured horizontally, vertically, or diagonally. The successive displayed image having the successive field of view represents a combined three-dimensional observable area visible through stitching together of two displayed images presented on the first and second image displays.

As used herein, "an angle of view" describes the angular extent of the field of view associated with the displayed images presented on each of the left and right image displays 180C-D of optical assembly 180A-B. The "angle of coverage" describes the angle range that a lens of visible light cameras 114A-B or infrared camera <NUM> can image. Typically, the image circle produced by a lens is large enough to cover the film or sensor completely, possibly including some vignetting (i.e., a reduction of an image's brightness or saturation toward the periphery compared to the image center). If the angle of coverage of the lens does not fill the sensor, the image circle will be visible, typically with strong vignetting toward the edge, and the effective angle of view will be limited to the angle of coverage. The "field of view" is intended to describe the field of observable area which the user of the eyewear device <NUM> can see through his or her eyes via the displayed images presented on the left and right image displays 180C-D of the optical assembly 180A-B. Image display 180C of optical assembly 180A-B can have a field of view with an angle of coverage between <NUM>° to <NUM>°, for example <NUM>°, and have a resolution of <NUM> x <NUM> pixels.

<FIG> shows a rear perspective view of the eyewear device of <FIG>. The eyewear device <NUM> includes an infrared emitter <NUM>, infrared camera <NUM>, a frame front <NUM>, a frame back <NUM>, and a circuit board <NUM>. It can be seen in <FIG> that the upper portion of the left rim of the frame of the eyewear device <NUM> includes the frame front <NUM> and the frame back <NUM>. An opening for the infrared emitter <NUM> is formed on the frame back <NUM>.

As shown in the encircled cross-section <NUM> in the upper middle portion of the left rim of the frame, a circuit board, which is a flexible PCB <NUM>, is sandwiched between the frame front <NUM> and the frame back <NUM>. Also shown in further detail is the attachment of the left temple 110A to the left temple 325A via the left hinge 326A. In some examples, components of the eye movement tracker <NUM>, including the infrared emitter <NUM>, the flexible PCB <NUM>, or other electrical connectors or contacts may be located on the left temple 325A or the left hinge 326A.

<FIG> is a cross-sectional view through the infrared emitter <NUM> and the frame corresponding to the encircled cross-section <NUM> of the eyewear device of <FIG>. Multiple layers of the eyewear device <NUM> are illustrated in the cross-section of <FIG>, as shown the frame includes the frame front <NUM> and the frame back <NUM>. The flexible PCB <NUM> is disposed on the frame front <NUM> and connected to the frame back <NUM>. The infrared emitter <NUM> is disposed on the flexible PCB <NUM> and covered by an infrared emitter cover lens <NUM>. For example, the infrared emitter <NUM> is reflowed to the back of the flexible PCB <NUM>. Reflowing attaches the infrared emitter <NUM> to contact pad(s) formed on the back of the flexible PCB <NUM> by subjecting the flexible PCB <NUM> to controlled heat which melts a solder paste to connect the two components. In one example, reflowing is used to surface mount the infrared emitter <NUM> on the flexible PCB <NUM> and electrically connect the two components. However, it should be understood that through-holes can be used to connect leads from the infrared emitter <NUM> to the flexible PCB <NUM> via interconnects, for example.

The frame back <NUM> includes an infrared emitter opening <NUM> for the infrared emitter cover lens <NUM>. The infrared emitter opening <NUM> is formed on a rear-facing side of the frame back <NUM> that is configured to face inwards towards the eye of the user. In the example, the flexible PCB <NUM> can be connected to the frame front <NUM> via the flexible PCB adhesive <NUM>. The infrared emitter cover lens <NUM> can be connected to the frame back <NUM> via infrared emitter cover lens adhesive <NUM>. The coupling can also be indirect via intervening components.

In an example, the processor <NUM> utilizes eye tracker <NUM> to determine an eye gaze direction <NUM> of a wearer's eye <NUM> as shown in <FIG>, and an eye position <NUM> of the wearer's eye <NUM> within an eyebox as shown in <FIG>. The eye tracker <NUM> is a scanner which uses infrared light illumination (e.g., near-infrared, short-wavelength infrared, mid-wavelength infrared, long-wavelength infrared, or far infrared) to captured image of reflection variations of infrared light from the eye <NUM> to determine the gaze direction <NUM> of a pupil <NUM> of the eye <NUM>, and also the eye position <NUM> with respect to the see-through display 180D.

<FIG> depicts an example of capturing visible light with cameras. Visible light is captured by the left visible light camera 114A with a left visible light camera field of view 111A as a left raw image 758A. Visible light is captured by the right visible light camera 114B with a right visible light camera field of view 111B as a right raw image 758B that overlaps <NUM> with the left raw image 758A. Based on processing of the left raw image 758A and the right raw image 758B, a three-dimensional depth map <NUM> of a three-dimensional scene, referred to hereafter as an image, is generated by processor <NUM>.

<FIG> illustrates an example of a camera-based compensation system <NUM> processing an image <NUM> to improve the user experience of users of eyewear <NUM>/<NUM> having partial or total blindness. To compensate for partial or total blindness, the camera-based compensation <NUM> determines objects <NUM> in image <NUM>, converts determined objects <NUM> to text, and then converts the text to audio that is indicative of the objects <NUM> in the image.

<FIG> is an image illustrating an example of a camera-based compensation system <NUM> responding to speech of a user, such as instructions, to improve the user experience of users of eyewear <NUM>/<NUM> having partial or total blindness. To compensate for partial or total blindness, the camera-based compensation <NUM> processes speech, such as instructions, received from a user/wearer of eyewear <NUM> to determine objects <NUM> in image <NUM>, such as a restaurant menu, and converts determined objects <NUM> to audio that is indicative of the objects <NUM> in the image responsive to the speech command.

<FIG> illustrates an example of eyewear device <NUM> worn by a deaf/hard of hearing person viewing another person wearing a face covering <NUM> over their lips, shown as mask, viewed through displays <NUM>. The eyewear device <NUM> includes microphone <NUM> that receives spoken language and utterances of the viewed person.

<FIG> illustrates eyewear device <NUM> generating and displaying moving lips <NUM> on each display <NUM> over the viewed mask <NUM> of the speaking person that correspond to the spoken language and utterances. The deaf/hard of hearing person can visually see and understand the moving lips <NUM> overlaid over the mask <NUM> of the speaking person on the display <NUM> of eyewear <NUM>. The eyewear device <NUM> has a speech to moving lips algorithm <NUM> (<FIG>) that processes the spoken words and utterances received via microphone <NUM>, translates the sounds to text using an automatic speech recognition (ASR) and natural language understanding (NLU) sound recognition engine <NUM>, matches the text to moving lip movement using a database <NUM> including lip movement formation as a function of text, and generates and displays an overlay of moving lips <NUM> over the mask <NUM> corresponding to the processed text that can be visually read and understood by the deaf/hard of hearing person. This process is described further with reference to <FIG>. In another example, the face covering could be a beard that obscures the viewed moving lips, wherein the moving lips are overlaid over the beard.

A convolutional neural network (CNN) is a special type of feed-forward artificial neural network that is generally used for image detection tasks. In an example, the camera-based compensation system <NUM> uses a region-based convolutional neural network (RCNN) <NUM>. The RCNN <NUM> is configured to generate a convolutional feature map <NUM> that is indicative of objects <NUM> (<FIG>) and <NUM> (<FIG>) in the image <NUM> created from the left and right cameras 114A-B. In one example, relevant text of the convolutional feature map <NUM> is processed by a processor <NUM> using a text to speech algorithm <NUM>. In a second example, images of the convolutional feature map <NUM> are processed by processor <NUM> using a speech to audio algorithm <NUM> to produce audio that is indicative of objects in the image based on the speech instructions. The processor <NUM> includes a natural language processor configured to generate audio indicative of the objects <NUM> and <NUM> in the image <NUM>.

In an example, and as will be discussed in further detail with respect to <FIG> below, image <NUM> generated from the left and right cameras 114A-B, respectively, is shown to include objects <NUM>, seen in this example as a cowboy on a horse in <FIG>. The image <NUM> is input to the RCNN <NUM> which generates the convolutional feature map <NUM> based on the image <NUM>. An example RCNN is available from Analytics Vidhya of Gurugram, Haryana, India. From the convolutional feature map <NUM> the processor <NUM> identifies a region of proposals in the convolutional feature map <NUM> and transforms them into squares <NUM>. The squares <NUM> represent a subset of the image <NUM> that is less than the whole image <NUM>, where the square <NUM> shown in this example includes the cowboy on the horse. The region of proposal may be, for example, recognized objects (e.g., a human/cowboy, a horse, etc.) that are moving.

In another example, with reference to <FIG>, a user provides speech that is input to eyewear <NUM> using microphone <NUM> to request certain objects <NUM> in image <NUM> to be read aloud via speaker <NUM>. In an example, the user may provide speech to request a portion of a restaurant menu to be read aloud, such as daily dinner features, and daily specials. The RCNN <NUM> determines portions of the image <NUM>, such as a menu, to identify objects <NUM> that correspond to the speech request. The processor <NUM> includes a natural language processor configured to generate audio indicative of the determined objects <NUM> in the image <NUM>. The processor may additionally track head/eye movement to identify features such as a menu held in the hand of a wearer or a subset of the menu (e.g., the right or left side).

The processor <NUM> uses a region of interest (ROI) pooling layer <NUM> to reshape the squares <NUM> into a uniform size so that they can be input into a fully connected layer <NUM>. A softmax layer <NUM> is used to predict the class of the proposed ROI based on a fully connected layer <NUM> and also offset values for a bounding box (bbox) regressor <NUM> from a ROI feature vector <NUM>.

The relevant text of the convolutional feature map <NUM> is processed through the text to speech algorithm <NUM> using the natural language processor <NUM> and a digital signal processor is used to generate audio that is indicative of the text in the convolutional feature map <NUM>. Relevant text may be text identifying moving objects (e.g., the cowboy and the horse; <FIG>) or text of a menu matching a user's request (e.g., list of daily specials; <FIG>). An example text to speech algorithm <NUM> is available from DFKI Berlin of Berlin, Germany. Audio can be interpreted using a convolutional neural network, or it may be offloaded to another device or system. The audio is generated using the speaker <NUM> such that it is audible to the user (<FIG>).

<FIG> depicts a high-level functional block diagram including example electronic components disposed in eyewear <NUM> and <NUM>. The illustrated electronic components include the processor <NUM>, which executes the RCNN <NUM>, the text to speech algorithm <NUM>, a speech to audio algorithm <NUM>, a memory <NUM>, the speech to moving lips algorithm <NUM>, the ASR and NLU sound recognition engine <NUM>, and the text to moving lips database <NUM>.

Memory <NUM> includes instructions for execution by processor <NUM> to implement functionality of eyewear <NUM>/<NUM>, including instructions for processor <NUM> to perform RCNN <NUM>, the text to speech algorithm <NUM>, the speech to audio algorithm <NUM> to generate audio that is indicative of an object(s) viewable through the optical element 180A-B and rendered in the images <NUM>, the speech to moving lips algorithm <NUM>, the ASR and NLU engine <NUM>, and the text to moving lips database <NUM>, such as shown in <FIG>, <FIG>, and <FIG>. Memory <NUM> also includes instructions for execution by processor <NUM> to perform speech to audio for objects shown in image <NUM> such as shown in both <FIG> and <FIG> to generate audio that is responsive to a speech instruction. Processor <NUM> receives power from battery (not shown) and executes the instructions stored in memory <NUM>, or integrated with the processor <NUM> on-chip, to perform functionality of eyewear <NUM>/<NUM>, and communicating with external devices via wireless connections.

A user interface adjustment system <NUM> includes a wearable device, which is the eyewear device <NUM> with an eye movement tracker <NUM> (e.g., shown as infrared emitter <NUM> and infrared camera <NUM> in <FIG>). User interface adjustments system <NUM> also includes a mobile device <NUM> and a server system <NUM> connected via various networks. Mobile device <NUM> may be a smartphone, tablet, laptop computer, access point, or any other such device capable of connecting with eyewear device <NUM> using both a low-power wireless connection <NUM> and a high-speed wireless connection <NUM>. Mobile device <NUM> is connected to server system <NUM> and network <NUM>. The network <NUM> may include any combination of wired and wireless connections.

Eyewear device <NUM> includes at least two visible light cameras 114A-B (one associated with the left lateral side 170A and one associated with the right lateral side 170B). Eyewear device <NUM> further includes two see-through image displays 180C-D of the optical assembly 180A-B (one associated with the left lateral side 170A and one associated with the right lateral side 170B). The image displays 180C-D are optional in this disclosure. Eyewear device <NUM> also includes image display driver <NUM>, image processor <NUM>, low-power circuitry <NUM>, and high-speed circuitry <NUM>. The components shown in <FIG> for the eyewear device <NUM> are located on one or more circuit boards, for example a PCB or flexible PCB, in the temples. Alternatively, or additionally, the depicted components can be located in the temples, frames, hinges, or bridge of the eyewear device <NUM>. Left and right visible light cameras 114A-B can include digital camera elements such as a complementary metal-oxide-semiconductor (CMOS) image sensor, charge coupled device, a lens, or any other respective visible or light capturing elements that may be used to capture data, including images of scenes with unknown objects.

Eye movement tracking programming <NUM> implements the user interface field of view adjustment instructions, including, to cause the eyewear device <NUM> to track, via the eye movement tracker <NUM>, the eye movement of the eye of the user of the eyewear device <NUM>. Other implemented instructions (functions) cause the eyewear device <NUM> to determine, a field of view adjustment to the initial field of view of an initial displayed image based on the detected eye movement of the user corresponding to a successive eye direction. Further implemented instructions generate a successive displayed image of the sequence of displayed images based on the field of view adjustment. The successive displayed image is produced as visible output to the user via the user interface. This visible output appears on the see-through image displays 180C-D of optical assembly 180A-B, which is driven by image display driver <NUM> to present the sequence of displayed images, including the initial displayed image with the initial field of view and the successive displayed image with the successive field of view.

As shown in <FIG>, high-speed circuitry <NUM> includes high-speed processor <NUM>, memory <NUM>, and high-speed wireless circuitry <NUM>. In the example, the image display driver <NUM> is coupled to the high-speed circuitry <NUM> and operated by the high-speed processor <NUM> in order to drive the left and right image displays 180C-D of the optical assembly 180A-B. High-speed processor <NUM> may be any processor capable of managing high-speed communications and operation of any general computing system needed for eyewear device <NUM>. High-speed processor <NUM> includes processing resources needed for managing high-speed data transfers on high-speed wireless connection <NUM> to a wireless local area network (WLAN) using high-speed wireless circuitry <NUM>. In certain examples, the high-speed processor <NUM> executes an operating system such as a LINUX operating system or other such operating system of the eyewear device <NUM> and the operating system is stored in memory <NUM> for execution. In addition to any other responsibilities, the high-speed processor <NUM> executing a software architecture for the eyewear device <NUM> is used to manage data transfers with high-speed wireless circuitry <NUM>. In certain examples, high-speed wireless circuitry <NUM> is configured to implement Institute of Electrical and Electronic Engineers (IEEE) <NUM> communication standards, also referred to herein as Wi-Fi. In other examples, other high-speed communications standards may be implemented by high-speed wireless circuitry <NUM>.

Low-power wireless circuitry <NUM> and the high-speed wireless circuitry <NUM> of the eyewear device <NUM> can include short range transceivers (Bluetooth™) and wireless wide, local, or wide area network transceivers (e.g., cellular or WiFi). Mobile device <NUM>, including the transceivers communicating via the low-power wireless connection <NUM> and high-speed wireless connection <NUM>, may be implemented using details of the architecture of the eyewear device <NUM>, as can other elements of network <NUM>.

Memory <NUM> includes any storage device capable of storing various data and applications, including, among other things, color maps, camera data generated by the left and right visible light cameras 114A-B and the image processor <NUM>, as well as images generated for display by the image display driver <NUM> on the see-through image displays 180C-D of the optical assembly 180A-B. While memory <NUM> is shown as integrated with high-speed circuitry <NUM>, in other examples, memory <NUM> may be an independent standalone element of the eyewear device <NUM>. In certain such examples, electrical routing lines may provide a connection through a chip that includes the high-speed processor <NUM> from the image processor <NUM> or low-power processor <NUM> to the memory <NUM>. In other examples, the high-speed processor <NUM> may manage addressing of memory <NUM> such that the low-power processor <NUM> will boot the high-speed processor <NUM> any time that a read or write operation involving memory <NUM> is needed.

Server system <NUM> may be one or more computing devices as part of a service or network computing system, for example, that include a processor, a memory, and network communication interface to communicate over the network <NUM> with the mobile device <NUM> and eyewear device <NUM>. Eyewear device <NUM> is connected with a host computer. For example, the eyewear device <NUM> is paired with the mobile device <NUM> via the high-speed wireless connection <NUM> or connected to the server system <NUM> via the network <NUM>.

Output components of the eyewear device <NUM> include visual components, such as the left and right image displays 180C-D of optical assembly 180A-B as described in <FIG> (e.g., a display such as a liquid crystal display (LCD), a plasma display panel (PDP), a light emitting diode (LED) display, a projector, or a waveguide). The image displays 180C-D of the optical assembly 180A-B are driven by the image display driver <NUM>. The output components of the eyewear device <NUM> further include acoustic components (e.g., speakers), haptic components (e.g., a vibratory motor), other signal generators, and so forth. The input components of the eyewear device <NUM>, the mobile device <NUM>, and server system <NUM>, 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 other pointing instruments), tactile input components (e.g., a physical button, a touch screen that provides location and force of touches or touch gestures, or other tactile input components), audio input components (e.g., a microphone), and the like.

Eyewear device <NUM> may optionally include additional peripheral device elements. Such peripheral device elements may include biometric sensors, additional sensors, or display elements integrated with eyewear device <NUM>. For example, peripheral device elements may include any I/O components including output components, motion components, position components, or any other such elements described herein.

For example, the biometric components of the user interface field of view adjustment <NUM> include components to detect expressions (e.g., hand expressions, facial expressions, vocal expressions, body gestures, or eye tracking), measure biosignals (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 include acceleration sensor components (e.g., accelerometer), gravitation sensor components, rotation sensor components (e.g., gyroscope), and so forth. The position components include location sensor components to generate location coordinates (e.g., a Global Positioning System (GPS) receiver component), WiFi or Bluetooth™ transceivers to generate positioning system coordinates, 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. Such positioning system coordinates can also be received over wireless connections <NUM> and <NUM> from the mobile device <NUM> via the low-power wireless circuitry <NUM> or high-speed wireless circuitry <NUM>.

According to some examples, an "application" or "applications" are program(s) that execute functions defined in the programs. Various programming languages can be employed to create one or more of the applications, 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, a third party application (e.g., an application 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 systems. In this example, the third-party application can invoke API calls provided by the operating system to facilitate functionality described herein.

<FIG> is a flowchart <NUM> illustrating the operation of the eyewear device <NUM>/<NUM> and other components of the eyewear created by the high-speed processor <NUM> executing instructions stored in memory <NUM>. Although shown as occurring serially, the blocks of <FIG> may be reordered or parallelized depending on the implementation.

Blocks <NUM>-<NUM> may be performed using the RCCN <NUM>.

At block <NUM>, the processor <NUM> waits for user input or contextual data and image capture. In a first example, the input is the image <NUM> generated from the left and right cameras 114A-B, respectively, and shown to include objects <NUM> shown in <FIG> as a cowboy on a horse in this example. In a second example, the input also includes speech from a user/wearer via microphone <NUM>, such as verbal instructions to read an object <NUM> in an image <NUM> placed in front of the eyewear <NUM>, shown in <FIG>. This can include speech to read a restaurant menu or portion thereof, such as the daily features.

At block <NUM>, the processor <NUM> passes image <NUM> through the RCCN <NUM> to generate the convolutional feature map <NUM>. The processor <NUM> uses a convolutional layer using a filter matrix over an array of image pixels in image <NUM> and performs a convolutional operation to obtain the convolution feature map <NUM>.

At block <NUM>, the processor <NUM> uses the ROI pooling layers <NUM> to reshape a region of proposals of the convolutional feature map <NUM> into squares <NUM>. The processor is programmable to determine the shape and size of the squares <NUM> to determine how many objects are processed and to avoid information overload. ROI pooling layer <NUM> is an operation used in object detection tasks using convolutional neural networks. For example, to detect the cowboy <NUM> on the horse in a single image <NUM> shown in <FIG> in a first example, and to detect menu information <NUM> shown in <FIG> in a second example. The ROI pooling layer <NUM> purpose is to perform max pooling on inputs of nonuniform sizes to obtain fixed-size feature maps (e.g., <NUM>×<NUM> units).

At block <NUM>, the processor <NUM> processes the fully connected layers <NUM>, where the softmax layer <NUM> uses fully connected layer <NUM> to predict the class of the proposed regions and the bounding box regressor <NUM>. A softmax layer is typically the final output layer in a neural network that performs multi-class classification (for example: object recognition).

At block <NUM>, the processor <NUM> identifies objects <NUM> and <NUM> in the image <NUM> and selects relevant features such as objects <NUM> and <NUM>. The processor <NUM> is programmable to identify and select different classes of objects <NUM> and <NUM> in the squares <NUM>, for example, traffic lights of a roadway and the color of the traffic lights. In another example, the processor <NUM> is programmed to identify and select moving objects in square <NUM> such as vehicles, trains, and airplanes. In another example the processor is programmed to identify and select signs, such as pedestrian crossings, warning signs and informational signs. In the example shown in <FIG>, the processor <NUM> identifies the relevant objects <NUM> as the cowboy and the horse. In the example shown in <FIG>, the processor identifies the relevant objects <NUM> (e.g., based on user instructions) such as the menu portions, e.g., daily dinner specials and daily lunch specials.

At block <NUM>, blocks <NUM>-<NUM> are repeated in order to identify letters and text in the image <NUM>. Processor <NUM> identifies the relevant letters and text. The relevant letters and text may be determined to be relevant, in one example, if they occupy a minimum portion of the image <NUM>, such as <NUM>/<NUM> of the image or greater. This limits the processing of smaller letters and text that are not of interest. The relevant objects, letters and text are referred to as features, and are all submitted to the text to speech algorithm <NUM>.

Blocks <NUM>-<NUM> are performed by the text to speech algorithm <NUM> and speech to audio algorithm <NUM>. Text to speech algorithm <NUM> and speech to audio algorithm <NUM> process the relevant objects <NUM> and <NUM>, letters and texts received from the RCCN <NUM>.

At block <NUM>, the processor <NUM> parses text of the image <NUM> for relevant information as per user request or context. The text is generated by the convolutional feature map <NUM>.

At block <NUM>, the processor <NUM> preprocesses the text in order to expand abbreviations and numbers. This can include translating the abbreviations into text words, and numerals into text words.

At block <NUM>, the processor <NUM> performs grapheme to phoneme conversion using a lexicon or rules for unknown words. A grapheme is the smallest unit of a writing system of any given language. A phoneme is a speech sound in a given language.

At block <NUM>, the processor <NUM> calculates acoustic parameters by applying a model for duration and intonation. Duration is the amount of elapsed time between two events. Intonation is variation in spoken pitch when used, not for distinguishing words as sememes (a concept known as tone), but, rather, for a range of other functions such as indicating the attitudes and emotions of the speaker.

At block <NUM>, the processor <NUM> passes the acoustic parameters through a synthesizer to create sounds from a phoneme string. The synthesizer is a software function executed by the processor <NUM>.

At block <NUM>, the processor <NUM> plays audio through speaker <NUM> that is indicative of features including objects <NUM> and <NUM> in image <NUM>, as well as letters and text. The audio can be one or more words having suitable duration and intonation. Audio sounds for words are prerecorded, stored in memory <NUM> and synthesized, such that any word can be played based on the distinct breakdown of the word. Intonation and duration can be stored in memory <NUM> as well for specific words in the case of synthesis.

<FIG> is a flowchart <NUM> illustrating the operation of the eyewear device <NUM> by the high-speed processor <NUM> executing instructions stored in memory <NUM>. The processor <NUM> processes the received speech and utterances of a viewed person via microphone <NUM> and generates the corresponding moving lips <NUM> using the speech to moving lips algorithm <NUM>. Although shown as occurring serially, the blocks of <FIG> may be reordered or parallelized depending on the implementation.

At block <NUM>, the processor <NUM> captures spoken language and utterances of the person viewed through displays <NUM> using microphone <NUM>, as shown in <FIG>. The spoken language and utterances can be a string of words and utterances, such as in one example, "hello, it's nice to meet you". An example of an utterance can be sounds such as "ugh". The spoken language and utterances pass through the mask <NUM>, but the user of eyewear device <NUM> cannot see the lip movement of the viewed person. The speaking person is viewed through the display <NUM> of eyewear <NUM>, as shown in <FIG>.

At block <NUM>, the processor <NUM> translates the received the spoken language and utterances to a text string using the ASR and NLU sound recognition engine <NUM>. An example of an ASR and NLU sound recognition engine is Watson® available from IBM corporation. For example, if the viewed person says "hello, it is nice to meet you", a corresponding string of text is generated by the ASR and NLU sound engine <NUM>.

At block <NUM>, the processor <NUM> dynamically matches the corresponding string of text to moving lips <NUM> at a frame rate using the text to moving lips database <NUM>. The moving lips database stores a corresponding sequence of lip movements for each word of a set of words. In an example, the word "hello" has two syllables and is matched to a moving lip sequence of a human mouth speaking the word "hello". This matching is performed by processor <NUM> for each word in the text string, such as the words "it", "is", "nice", "to", "meet", "you" to create a string of moving lip formations. In an example, the processor <NUM> also creates pauses for some word strings, such as generating a momentary pause in the displayed moving lips between the words "hello" and "how".

At block <NUM>, the processor <NUM> generates and overlays the generated series of moving lips <NUM> over the mask <NUM> of the person viewed through the displays <NUM> of the eyewear, as shown in <FIG>. The moving lips <NUM> are displayed in near real time at the same rate that the spoken language and utterances are created, such that there is very little latency between a spoken word and utterance to display on displays <NUM>. The processor <NUM> matches the size of the displayed lips <NUM> to match the size of the viewed head of the speaking person. In addition, the processor <NUM> can also custom size the displayed lips <NUM> to help the user of eyewear device <NUM> better view and distinguish the moving lips of the viewed person, such as by enlarging the moving lips to be <NUM>. 25X or <NUM>. 5X of the size of lips that are commensurate with an average person. In other words, the displayed moving lips <NUM> are enlarged and disproportionate to the size of the head.

It will be understood that the terms and expressions used herein have the ordinary meaning as is accorded to such terms and expressions with respect to their corresponding respective areas of inquiry and study except where specific meanings have otherwise been set forth herein. Relational terms such as first and second and the like may be used solely to distinguish one entity or action from another without necessarily requiring or implying any actual such relationship or order between such entities or actions. The terms "comprises," "comprising," "includes," "including," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises or includes a list of elements or steps does not include only those elements or steps but may include other elements or steps not expressly listed or inherent to such process, method, article, or apparatus. An element preceded by "a" or "an" does not, without further constraints, preclude the existence of additional identical elements in the process, method, article, or apparatus that comprises the element.

Unless otherwise stated, any and all measurements, values, ratings, positions, magnitudes, sizes, and other specifications that are set forth in this specification, including in the claims that follow, are approximate, not exact. Such amounts are intended to have a reasonable range that is consistent with the functions to which they relate and with what is customary in the art to which they pertain. For example, unless expressly stated otherwise, a parameter value or the like may vary by as much as ± <NUM>% from the stated amount.

In addition, in the foregoing Detailed Description, it can be seen that various features are grouped together in various examples for the purpose of streamlining the disclosure.

Claim 1:
Eyewear, comprising:
a frame;
a camera supported by the frame and configured to generate an image of a person wearing a mask viewed through the frame;
a display supported by the frame;
a microphone supported by the frame; and
an electronic processor configured to:
receive a signal indicative of speech from a user via the microphone;
process the signal and translate the speech;
generate a moving lip image indicative of the translated speech; and
overlay the moving lip image on the display over the viewed mask of the person.