Abstract: A first output is received from a first hardware optical sensor. A second output is received from a second hardware sensor. Guidance is provided for a movement via a user interface, wherein the guidance is based at least in part on: the first output from the first hardware optical sensor; the second output from the second hardware sensor; and a model based at least in part on historical performance of the movement; and wherein at least one of the first output and the second output triggers a condition.

Abstract: A first video of a first individual performing an exercise movement is received, wherein the first video is associated with a first guidance label. A modified version of a video is generated at least in part by passing the first video to a pose data change model. The modified version of the video is associated with a second guidance label. A guidance classifier model is trained using the modified version of the video.