Patent application EP20177160A (EP), filed 2020-05-28
Publication number: EP3757818A1
Title: SYSTEMS AND METHODS FOR AUTOMATIC SERVICE ACTIVATION ON A COMPUTING DEVICE
Abstract: Disclosed herein are systems and method for automatic activation of a service on a computing device. In an exemplary aspect, a service activation module may link, using an activation model, user behavioral data to an automated activation of the service based on the detecting a prior activation of the service subsequent to receiving the user behavioral data. The service activation module may receive, at a later time, additional sensor data from a plurality of sensors of a computing device. The service activation module may parse the additional sensor data to generate additional user behavioral data. The service activation module may compute, using the activation model, a degree of similarity between the user behavioral data and the additional user behavioral data, and in response to determining that the degree of similarity is greater than a predetermined threshold value, may automatically activating the service on the computing device.
IPC codes: G06F  16/   957            A I
Claims: number: 1
text: A method for automatic service activation, the method comprising:
number: 2
text: The method according to claim 1, wherein the activation is a manual activation from a user.
number: 3
text: The method according to any of claims 1 to 2, wherein the plurality of sensors comprise at least one of: an accelerometer; a gyroscope; a magnetometer; a proximity sensor; a pedometer; a camera.
number: 4
text: The method according to any of claims 1 to 3, wherein the sensor data comprises gaze information of a user and environment information both acquired by at least one camera of the computing device, wherein the service is a digital search query, and wherein linking the user behavioral data to the automated activation of the service comprises:
number: 5
text: The method according to claim 4, wherein the gaze information indicates that the user looked at the computing device both prior to and subsequent to looking at the object for the threshold period of time, further comprising:
generating an additional rule, for the activation model, that initiates the automated digital search query on the computing device for any object that the user looks at for the threshold period of time both prior to and subsequent to looking at the computing device.
number: 6
text: The method according to any of claims 1 to 5, further comprising:
number: 7
text: The method according to any of claims 1 to 6, wherein the sensor data and the additional sensor data are received from a plurality of computing devices, wherein the plurality of computing devices comprises the computing device.
number: 8
text: A system for automatic service activation, the system comprising a hardware processor configured to:
number: 9
text: The system according to claim 8, wherein the activation is a manual activation from a user.
number: 10
text: The system according to any of claims 8 to 9, wherein the plurality of sensors comprise at least one of: an accelerometer; a gyroscope; a magnetometer; a proximity sensor; a pedometer; a camera.
number: 11
text: The system according to any of claims 8 to 10, wherein the sensor data comprises gaze information of a user and environment information both acquired by at least one camera of the computing device, wherein the service is a digital search query, and wherein the hardware processor is configured to link the user behavioral data to the automated activation of the service by:
number: 12
text: The system according to claim 11, wherein the gaze information indicates that the user looked at the computing device both prior to and subsequent to looking at the object for the threshold period of time, wherein the hardware processor is further configured to:
generate an additional rule, for the activation model, that initiates the automated digital search query on the computing device for any object that the user looks at for the threshold period of time both prior to and subsequent to looking at the computing device.
number: 13
text: The system according to any of claims 8 to 12, wherein the hardware processor is further configured to:
number: 14
text: The system according to any of claims 8 to 13, wherein the sensor data and the additional sensor data are received from a plurality of computing devices, wherein the plurality of computing devices comprises the computing device.
Office action: search_report, dated 2020-12-30
Rejection reasons: novelty_epc_54
inventive_step_epc_56
Prior art cited: ref_id: US2016004971A1
ref_type: patent
severity: background
ref_id: US9823742B2
ref_type: patent
severity: background
ref_id: US2016132290A1
ref_type: patent
severity: background
ref_id: [XYI]     - SAJAL K DAS ET AL: "THE ROLE OF PREDICTION ALGORITHMS IN THE MAVHOME SMART HOME ARCHITECTURE", IEEE WIRELESS COMMUNICATIONS, COORDINATED SCIENCE LABORATORY; DEPT. ELECTRICAL AND COMPUTER ENGINEERING; UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN, US, vol. 9, no. 6, 1 December 2002 (2002-12-01), pages 77 - 84, XP011093895, ISSN: 1536-1284, DOI: 10.1109/MWC.2002.1160085
ref_type: npl
severity: background
ref_id: - BRDICZKA O ET AL: "Detecting Human Behavior Models From Multimodal Observation in a Smart Home", IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, IEEE SERVICE CENTER, NEW YORK, NY, US, vol. 6, no. 4, 1 October 2009 (2009-10-01), pages 588 - 597, XP011331856, ISSN: 1545-5955, DOI: 10.1109/TASE.2008.2004965
ref_type: npl
severity: background
ref_id: US2016004971
ref_type: patent
severity: background
ref_id: US2016132290
ref_type: patent
severity: obviousness
ref_id: US9823742
ref_type: patent
severity: obviousness
ref_id: - SAJAL K DAS ET AL, "THE ROLE OF PREDICTION ALGORITHMS IN THE MAVHOME SMART HOME ARCHITECTURE", IEEE WIRELESS COMMUNICATIONS, COORDINATED SCIENCE LABORATORY; DEPT. ELECTRICAL AND COMPUTER ENGINEERING; UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN, US, (20021201), vol. 9, no. 6, doi:10.1109/MWC.2002.1160085, ISSN 1536-1284, pages 77 - 84, XP011093895 [X] 1,2,7-9,14 * page  81, column  r, paragraph  Inhabitant Action Prediction  - page  83, column  r, paragraph  the end of the document * [Y] 4,5,11,12 [I] 3,6,10,13
ref_type: npl
severity: novelty_destroying
ref_id: - BRDICZKA O ET AL, "Detecting Human Behavior Models From Multimodal Observation in a Smart Home", IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, IEEE SERVICE CENTER, NEW YORK, NY, US, (20091001), vol. 6, no. 4, doi:10.1109/TASE.2008.2004965, ISSN 1545-5955, pages 588 - 597, XP011331856 [A] 1-14 * page  588 * * page  590, column  r, paragraph  Individual Role Detection  - page  593, column  3, line  2 *
ref_type: npl
severity: background
Final disposition: pending (2020-12-30)