US2019349470A1PendingUtilityA1

Mobile device context aware determinations

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Assignee: CELLEPATHY INCPriority: Aug 23, 2013Filed: Dec 10, 2018Published: Nov 14, 2019
Est. expiryAug 23, 2033(~7.1 yrs left)· nominal 20-yr term from priority
H04M 1/724631H04M 1/72463H04W 4/48H04W 4/027G08G 1/0137G01C 21/3641H04W 4/50H04W 4/029G01C 21/3484H04M 1/72572H04M 1/72577H04M 1/72569H04M 1/72457H04M 1/72454H04M 1/724098
50
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Claims

Abstract

Systems and methods are provided for mobile device context aware determinations. In one implementation inputs are received in relation to a location which corresponding to an incidence of deceleration, the inputs are processed to determine a likelihood that the deceleration is to be maintained for a shorter and/or longer time duration, and based on a determination that the deceleration is to be maintained for longer, a restriction at a device can be modified. According to another aspect, first time intervals which correspond to navigation instances associated with a first instruction provider and second time intervals which correspond to other navigation instances can be received, the first time intervals can be compared with the second time intervals to determine an efficiency of the first navigation provider, and based on a determination that the first navigation provider is relatively efficient, a recommendation to select the first navigation instruction provider can be provided.

Claims

exact text as granted — not AI-modified
1 .- 101 . (canceled) 
     
     
         102 . A system comprising:
 a processing device; and
 a memory coupled to the processing device and storing instructions that, when executed by the processing device, cause the system to perform operations comprising:
 receiving one or more visual captures; 
 processing the one or more visual captures to determine, in relation to a device, at least one of a head angle or an eye gaze angle; 
 based on the at least one of a head angle or an eye gaze angle, computing a likelihood that a user of the device is at least one of a driver or a passenger; and 
 modifying an implementation of a restriction at a device based on the computed likelihood. 
 
   
     
     
         103 . The system of  claim 102 , wherein processing the one or more visual captures comprises processing the one or more visual captures to determine whether the at least one of a head angle or an eye gaze angle are maintained with respect to the device for at least a defined chronological interval. 
     
     
         104 . The system of  claim 103 , wherein the memory further stores instructions to cause the system to perform operations comprising adjusting the defined chronological interval based on a determined speed. 
     
     
         105 . The system of  claim 102 , wherein the memory further stores instructions to cause the system to perform operations comprising:
 determining an orientation angle of the device relative to the ground; and   comparing the at least one of the head angle or the eye gaze angle to determine a relationship between the at least one of the head angle or the eye gaze angle and the orientation angle of the device;   wherein computing a likelihood that the user of the device is at least one of a driver or a passenger comprises computing the likelihood based on the relationship.   
     
     
         106 . The system of  claim 105 , wherein the orientation angle of the device comprises a substantially flat orientation. 
     
     
         107 . The system of  claim 102 , wherein processing the one or more visual captures comprises processing the one or more visual captures to determine (a) a head orientation angle in relation to the device and (b) the eye gaze angle in relation to the head orientation. 
     
     
         108 . The system of  claim 107 , wherein computing a likelihood that a user of the device is at least one of a driver or a passenger comprises: based on (a) the head orientation angle in relation to the device, (b) the eye gaze angle in relation to the head orientation, and (c) an orientation angle of the device in relation to the ground, computing the likelihood that the user of the device is at least one of a driver or a passenger. 
     
     
         109 . A method comprising:
 receiving one or more visual captures;   processing the one or more visual captures to determine (a) a head orientation angle in relation to a device and (b) an eye gaze angle in relation to the head orientation;   based on (a) the head orientation angle in relation to the device, (b) the eye gaze angle in relation to the head orientation, and (c) an orientation angle of the device in relation to the ground, computing, by a processing device, a likelihood that a user of the device is at least one of a driver or a passenger; and   modifying an implementation of a restriction at a device based on the computed likelihood.   
     
     
         110 . The method of  claim 109 , wherein processing the one or more visual captures comprises processing the one or more visual captures to determine whether the at least one of a head angle or an eye gaze angle are maintained with respect to the device for at least a defined chronological interval. 
     
     
         111 . The method of  claim 110 , further comprising adjusting the defined chronological interval based on a determined speed. 
     
     
         112 . The method of  claim 109 , wherein computing a likelihood that a user of the device is at least one of a driver or a passenger comprises:
 comparing (a) the head orientation angle in relation to the device, (b) the eye gaze angle in relation to the head orientation, and (c) the orientation angle of the device in relation to the ground, to determine a relationship between the head orientation, the eye gaze angle, and the orientation angle of the device; and   computing the likelihood based on the relationship.   
     
     
         113 . The method of  claim 109 , wherein the orientation angle of the device comprises a substantially flat orientation in relation to the ground. 
     
     
         114 . A non-transitory computer readable medium having instructions stored thereon that, when executed by a processing device, cause the processing device to perform operations comprising:
 receiving one or more visual captures;   processing the one or more visual captures to determine, in relation to a device, a head angle;   based on the head angle, computing a likelihood that a user of the device is at least one of a driver or a passenger; and   modifying an implementation of a restriction at a device based on the computed likelihood.   
     
     
         115 . The non-transitory computer readable medium of  claim 114 , wherein processing the one or more visual captures comprises processing the one or more visual captures to determine whether the head angle is maintained with respect to the device for at least a defined chronological interval. 
     
     
         116 . The non-transitory computer readable medium of  claim 115 , wherein the operations further comprise adjusting the defined chronological interval based on a determined speed. 
     
     
         117 . The non-transitory computer readable medium of  claim 114 , wherein the memory further stores instructions to cause the system to perform operations comprising:
 determining an orientation angle of the device relative to the ground; and   comparing the head angle to determine a relationship between the head angle and the orientation angle of the device;   wherein computing a likelihood that the user of the device is at least one of a driver or a passenger comprises computing the likelihood based on the relationship.   
     
     
         118 . The non-transitory computer readable medium of  claim 117 , wherein the orientation angle of the device comprises a substantially flat orientation. 
     
     
         119 . The non-transitory computer readable medium of  claim 114 , wherein processing the one or more visual captures comprises processing the one or more visual captures to determine (a) a head orientation angle in relation to the device and (b) the eye gaze angle in relation to the head orientation. 
     
     
         120 . The non-transitory computer readable medium of  claim 114 , wherein computing a likelihood that a user of the device is at least one of a driver or a passenger comprises: computing the likelihood that the user of the device is at least one of a driver or a passenger based on (a) the determined head orientation angle in relation to the device, and (b) an eye gaze angle in relation to the head orientation. 
     
     
         121 . The non-transitory computer readable medium of  claim 120 , wherein computing a likelihood that a user of the device is at least one of a driver or a passenger comprises: based on (a) the head orientation angle in relation to the device, (b) an eye gaze angle in relation to the head orientation, and (c) an orientation angle of the device in relation to the ground, computing the likelihood that the user of the device is at least one of a driver or a passenger.

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