Methods and systems for monitoring and influencing gesture-based behaviors

A system for implementing gesture recognition, comprising:

• a memory for storing sensor data collected using a plurality of sensors located on a wearable device, wherein the plurality of sensors comprises one or more inertial sensors, and wherein the wearable device is configured to be worn by a user;
• and
• one or more processors configured to:
• analyze the sensor data to determine a probability of the user performing a predefined gesture, wherein the probability is determined based in part on (i) a magnitude of a motion vector in the sensor data, and (ii) time of day and a geographical location of the user,
• apply a data compression step to the sensor data, in order to reduce at least one of (1) a bandwidth required to transmit the sensor data and (2) a power consumption of the wearable device during the transmission of the sensor data, wherein the data compression step comprises calculating a time-based difference between samples of the sensor data along different axes of measurement of the one or more inertial sensors;
• and
• transmit, over one or more wireless or wired communication channels, a portion or all of the sensor data from the wearable device to at least one of (1) a user device and (2) a server that are configured to analyze the sensor data.