Hand gesture recognition based on motor unit spike trains decoded from high-density electromyography

Methods for surface electromyographic (EMG) signal decomposition have been developed in the past decade, to extract neural information transferred from the spinal cord to muscles. Here, we characterize the accuracy in the identification of motor unit activities during hand postures from high-density EMG signals and we propose a mapping approach between these neural signals and hand gestures. High-density EMG signals were recorded during 11 hand...