Personalized operation of a mobile device using sensor signatures
First Claim
1. A method for operation of a mobile device, the method comprising:
- determining that a sensor signature has been received, the sensor signature being a combination of at least one acoustic input and at least one non-acoustic input;
determining a context associated with one or more operations of the mobile device;
determining a confidence level or weight for the at least one acoustic input and the at least one non-acoustic input based on the context;
determining, based on the confidence level or weight, whether to perform the one or more operations of the mobile device; and
initiating performance of the one or more operations of the mobile device associated with the sensor signature, if the confidence level or weight exceeds a predetermined threshold,wherein the determining that the sensor signature has been received comprises deriving models using machine learning based on actions associated with a particular user, the determination of receipt of the sensor signature for the particular user being based on the machine learning derived models.
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Accused Products
Abstract
Systems and methods for performing personalized operations of a mobile device are provided. An example method includes determining a sensor signature has been received. The sensor signature may be a combination of acoustic and non-acoustic inputs. A classification or recognition or matching score for the received sensor signature may be calculated. A context associated with one or more of the operations of the mobile device may be determined. A confidence level or weight may be determined for the acoustic and non-acoustic inputs based on the context. Based on the confidence level or weight, a determination may be made whether to perform the one or more operations. The determination whether to perform the one or more operations may be further based on a combination of the confidence level or weight and the score. Determining the context can include identifying the type and level of noise associated with the mobile device'"'"'s environment.
44 Citations
17 Claims
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1. A method for operation of a mobile device, the method comprising:
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determining that a sensor signature has been received, the sensor signature being a combination of at least one acoustic input and at least one non-acoustic input; determining a context associated with one or more operations of the mobile device; determining a confidence level or weight for the at least one acoustic input and the at least one non-acoustic input based on the context; determining, based on the confidence level or weight, whether to perform the one or more operations of the mobile device; and initiating performance of the one or more operations of the mobile device associated with the sensor signature, if the confidence level or weight exceeds a predetermined threshold, wherein the determining that the sensor signature has been received comprises deriving models using machine learning based on actions associated with a particular user, the determination of receipt of the sensor signature for the particular user being based on the machine learning derived models. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 17)
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12. A system for operation of a mobile device, the system comprising:
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a processor; and a memory communicatively coupled with the processor, the memory storing instructions which, when executed by the processor, perform a method comprising; determining that a sensor signature has been received, the sensor signature being a combination of at least one acoustic input and at least one nonacoustic input; determining a context associated with one or more operations of the mobile device; determining a confidence level or weight for the at least one acoustic input and the at least one non-acoustic input based on the context; and determining, based on the confidence level or weight, whether to perform the one or more operations of the mobile device; initiating performance of the one or more operations of the mobile device associated with the sensor signature, if the confidence level or weight exceeds a predetermined threshold; and calculating a classification or recognition or matching score for the received sensor signatures, wherein the determining whether to perform the one or more operations of the mobile device is further based on the classification or recognition or matching score. - View Dependent Claims (13, 14, 15)
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16. A non-transitory computer-readable storage medium having embodied thereon instructions, which, when executed by one or more processors, perform steps of a method, the method comprising:
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determining that a sensor signature has been received, the sensor signature being a combination of at least one acoustic input and at least one non-acoustic input; determining a context associated with one or more operations of the mobile device; determining a confidence level or weight for the at least one acoustic input and the at least one non-acoustic input based on the context; determining, based on the confidence level or weight, whether to perform the one or more operations of the mobile device; initiating performance of the one or more operations of the mobile device associated with the sensor signature, if the confidence level or weight exceeds a predetermined threshold; and calculating a score for the received sensor signatures, wherein the determining whether to perform the one or more operations of the mobile device is further based on the score.
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Specification