System and method for identifying a vehicle driver by a pattern of movement
First Claim
1. A computer-implemented method for identifying a vehicle driver by a pattern of movement, comprising:
- receiving sensor signals from at least one wearable device;
determining the pattern of movement based on data extracted from the sensor signals, wherein the extracted data represents physical movement and biosignal biometric parameters that are fused into combined movement data, wherein the combined movement data is converted into a data package that is indicative of the pattern of movement with respect to at least one movement of the vehicle driver that pertains to the vehicle;
evaluating at least one data point that is extracted from the data package to determine if it is consistent with at least one data point programmed within and extracted from at least one predetermined driver movement pattern;
identifying the vehicle driver based on the at least one data point being consistent with the at least one predetermined driver movement pattern;
executing a vehicle settings profile associated with the identified vehicle driver; and
controlling at least one vehicle system of the vehicle, wherein the at least one vehicle system is controlled based on the execution of the vehicle settings profile associated with the identified vehicle driver.
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Abstract
A computer-implemented method and system for identifying a vehicle driver by a pattern of movement that includes receiving at least one sensor signal from at least one wearable device. The method and system additionally include determining the pattern of movement based on data extracted from the at least one sensor signal and determining if the pattern of movement is consistent with at least one driver movement pattern. The method and system further include identifying the vehicle driver based on the pattern of movement being consistent with the at least one driver movement pattern. The method and system also include controlling at least one vehicle system by executing vehicle settings associated with the identified vehicle driver.
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Citations
20 Claims
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1. A computer-implemented method for identifying a vehicle driver by a pattern of movement, comprising:
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receiving sensor signals from at least one wearable device; determining the pattern of movement based on data extracted from the sensor signals, wherein the extracted data represents physical movement and biosignal biometric parameters that are fused into combined movement data, wherein the combined movement data is converted into a data package that is indicative of the pattern of movement with respect to at least one movement of the vehicle driver that pertains to the vehicle; evaluating at least one data point that is extracted from the data package to determine if it is consistent with at least one data point programmed within and extracted from at least one predetermined driver movement pattern; identifying the vehicle driver based on the at least one data point being consistent with the at least one predetermined driver movement pattern; executing a vehicle settings profile associated with the identified vehicle driver; and controlling at least one vehicle system of the vehicle, wherein the at least one vehicle system is controlled based on the execution of the vehicle settings profile associated with the identified vehicle driver. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A system for identifying a vehicle driver by a pattern of movement, comprising:
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a memory storing instructions when executed by a processor cause the processor to; receive sensor signals from at least one wearable device; determine the pattern of movement based on data extracted from the sensor signals, wherein the extracted data represents physical movement and biosignal biometric parameters that are fused into combined movement data, wherein the combined movement data is converted into a data package that is indicative of the pattern of movement with respect to at least one movement of the vehicle driver that pertains to the vehicle; evaluate at least one data point that is extracted from the data package to determine if it is consistent with at least one data point programmed within and extracted from at least one predetermined driver movement pattern; identify the vehicle driver based on the at least one data point being consistent with the at least one predetermined driver movement pattern; execute a vehicle settings profile associated with the identified vehicle driver; and control at least one vehicle system of the vehicle, wherein the at least one vehicle system is controlled based on the execution of the vehicle settings profile associated with the identified vehicle driver. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. A non-transitory computer readable storage medium storing instructions that when executed by a computer, which includes a processor perform a method, the method comprising:
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receiving sensor signals from at least one wearable device; determining a pattern of movement based on data extracted from the sensor signals, wherein the extracted data represents physical movement and biosignal biometric parameters that are fused into combined movement data, wherein the combined movement data is converted into a data package that is indicative of the pattern of movement with respect to at least one movement of the vehicle driver that pertains to the vehicle; evaluating at least one data point that is extracted from the data package to determine if it is consistent with at least one data point programmed within and extracted from at least one predetermined driver movement pattern; identifying the vehicle driver based on the at least one data point being consistent with the at least one predetermined driver movement pattern; executing a vehicle settings profile associated with the identified vehicle driver; and controlling at least one vehicle system of the vehicle, wherein the at least one vehicle system is controlled based on the execution of the vehicle settings profile associated with the identified vehicle driver. - View Dependent Claims (20)
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Specification