TRAINING PROSTHESIS CONTROL IN THE LAB AND THE HOME
AbstractHistorically, experiments involving motor learning-based control schemes use real-time feedback. It is unclear, to what extent previous results are attributable to transient performance effects caused by closed loop adaptive processes, rather than motor learning. To investigate, we performed two long-term experiments. Experiment 1: a lab-based study compared use of continuous and delayed visual feedback to assess long-term stability of skill retention; we trained ten participants using either continuous or delayed visual feedback over four consecutive days with a follow-up probe on week three. Experiment 2: a home-based study validated that the training protocols introduced in experiment one can train forward models outside of the laboratory in an appropriate period. Three participants trained over five days with a goal of maximising proficiency via bespoke training structures.
How to Cite
S. Stuttaford, S. Dupan, K. Nazarpour, and M. Dyson, “TRAINING PROSTHESIS CONTROL IN THE LAB AND THE HOME”, MEC Symposium, Aug. 2022.
Myoelectric Control Algorithms