ARAT ASSESSMENT

Segmenting ARAT exercise videos to assist with the rating of the clinicians

Labeling the segments correctly to enable machine learning models to learn different movement patterns

3D reconstruction of body pose from 2D images using stereo camera setup

3D reconstruction of the hand to better understand the hand -object interaction

Generating recommendations for the clinicians based on the automated movement quality assessment

Training the models to learn the HBM weights to predict probability for a component to influence functionality