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.

Abstract: Performance information associated with a previous repetition of an exercise movement is received. Performance of one or more upcoming repetitions is predicted, based at least in part on the performance information associated with the previous repetition of the exercise movement. A failure classification of whether the one or more upcoming repetitions is associated with an occurrence of physical failure is performed, based at least in part on the predicted performance of the one or more upcoming repetitions of the exercise movement. A number of repetitions in reserve is determined, based at least in part on the failure classification.

Abstract: Performance information associated with a previous repetition of an exercise movement is received. Performance of one or more upcoming repetitions is predicted, based at least in part on the performance information associated with the previous repetition of the exercise movement. A failure classification of whether the one or more upcoming repetitions is associated with an occurrence of physical failure is performed, based at least in part on the predicted performance of the one or more upcoming repetitions of the exercise movement. A number of repetitions in reserve is determined, based at least in part on the failure classification.

Abstract: Performance information associated with a previous repetition of an exercise movement is received. Performance of one or more upcoming repetitions is predicted, based at least in part on the performance information associated with the previous repetition of the exercise movement. A failure classification of whether the one or more upcoming repetitions is associated with an occurrence of physical failure is performed, based at least in part on the predicted performance of the one or more upcoming repetitions of the exercise movement. A number of repetitions in reserve is determined, based at least in part on the failure classification.