A framework for quality assessment of exercises in physical rehabilitation based on skeletal joint displacements collected with a motion capture system.

An autoencoder neural network and a Gaussian mixture model are used for generating movement quality scores for rehabilitation exercises.

Backing project for the Active Muscle Stimulator device.

Model flight paths from radio-telemetry data using a hidden Markov model.

Matlab based motion pattern generation for wireless networks

Spontaneous Movements' Initiation under Temporal uncertainty