Algorithm development focuses on decoding electromyogram signals into a motion so that users can accomplish a task. While many controllers are able to produce simple grasping tasks well, fine motor skills are currently lacking in even the most advanced prosthetic hands. By creating efficient and accurate algorithms, we hope to increase prosthetic hand versatility for promoting user independence and ability.
Signal Decoding
Predicting Prosthetic Finger Postures Via Parallel Fuzzy C-Means Classification, Postural Algorithm Controller, Linear Discriminant Analysis (LDA) Classifier and Electrode Implantation