Dynamic animation of human motion using wearable sensors and machine learning

Abstract

A system for motion capture of human body movements includes sensor nodes configured for coupling to respective portions of a human subject. Each sensor node generates inertial sensor data as the human subject engages in a physical activity session and processes the inertial sensor data according to a first machine-learned model to generate a set of local motion determinations. One or more computing devices receive the sets of local determinations and process them according to a second machine-learned model to generate a body motion profile. The computing device(s) provide an animated display of an avatar moving according to the body motion profile and generate training data based on input received from a viewer in response to the animated display. The computing device(s) modify at least one of the first machine-learned model or the second machine-learned model based at least in part on the training data.