Biologically inspired algorithms applied to prosthetic control

Finger and hand positions can be decoded by analyzing the signals acquired from muscle contractions. We selected different biologically inspired algorithms and investigated their movement decoding performance. A neural network, an algorithm inspired by biological human brain, showed the highest accuracy for decoding human hand and finger movements.