Methods and systems for monitoring and influencing gesture-based behaviors

Abstract

Methods and systems are provided herein for analyzing, monitoring, and/or influencing a user's behavioral gesture in real-time. A gesture recognition method may be provided. The method may comprise: obtaining sensor data collected using at least one sensor located on a wearable device, wherein said wearable device is configured to be worn by a user; and analyzing the sensor data to determine a probability of the user performing a predefined gesture, wherein the probability is determined based in part on a magnitude of a motion vector in the sensor data, and without comparing the motion vector to one or more physical motion profiles.

What is claimed is: 
     
         1 . A gesture recognition method comprising:
 obtaining sensor data collected using at least two different types of sensors located on a wearable device, wherein said wearable device is configured to be worn by a user, the at least two different types of sensors comprise an accelerometer and a gyroscope, and wherein the sensor data comprises an acceleration vector obtained from the accelerometer and an angular velocity vector obtained from the gyroscope; and   analyzing the sensor data by evaluating a magnitude of the acceleration vector and a magnitude of the angular velocity vector to determine a likelihood of the user performing a predefined gesture, wherein the likelihood is determined without comparing the acceleration vector and the angular velocity vector to one or more physical motion profiles.