AUTOMATED MOTION OF INTEREST RECOGNITION, DETECTION AND SELF-LEARNING

摘要

A motion monitoring system can detect and identify motions of interest in motion data. The motion monitoring system can identify instances of the motion of interest in the motion data and can train a machine-learned model for identifying or characterizing motions of interest in motion data based on extracted features from the motions of interest. The motion monitoring system can also monitor motion data from a user and can help the user alter the performance of the motions of interest. For example, the motion monitoring system can generate an improvement strategy that helps the user improve their performance of the motion of interest. The motion monitoring system's altering of a user's performance of a motion of interest can be applied to physical therapy, gunfire detection, workplace motion improvement, sports, and driving.

主权项

1. A method comprising:
receiving motion data comprising a plurality of sensor signals describing a plurality of instances of a motion of interest and a count of the instances of the motion of interest; generating a set of time labels for the plurality of sensor signals based on the one or more time labeling parameters, each time label identifying a portion of the sensor signals that can represent an instance of the motion of interest of the plurality of instances of the motion of interest; extracting features of the motion of interest based on the set of time labels; and detecting a type of the motion of interest based on the extracted features of the instances of the motion of interest.