Patent Document ID: 10108984
Application ID: 14065663

Base Claim:
1. A method comprising: generating, by a device comprising a processor, a signal; sending, by the device, the signal to a sensor network associated with a user, wherein the sensor network comprises a plurality of vibration sensors positioned at various locations on a body of the user; receiving, at the device, a modified signal from the sensor network, wherein the modified signal comprises the signal received, from the device, by at least one vibration sensor of the plurality of vibration sensors and propagated by the at least one vibration sensor through at least one bone of the body of the user, thereby modifying the signal to create the modified signal; selecting, by the device, a body language reference model to compare to the modified signal received from the sensor network, wherein the body language reference model identifies a plurality of body language features and associated signal features; comparing, by the device, the modified signal to the body language reference model; determining, by the device, based upon comparing the modified signal to the body language reference model, a signal feature of the modified signal that maps to a body language feature of the plurality of body language features identified in the body language reference model; and outputting, by the device, the body language feature of the plurality of body language features identified in the body language reference model to an application.

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Claim 6:
6. The method of claim 1 , further comprising: receiving, at the device, information associated with a physical attribute of the user; creating, by the device, a body language profile based upon the information associated with the physical attribute of the user; and causing, by the device, the body language profile to be stored; and wherein selecting, by the device, the body language reference model to compare to the modified signal received from the sensor network comprises selecting, by the device, the body language reference model to compare to the modified signal received from the sensor network based, at least in part, upon the body language profile.