
In recent years the decoding of surface electromyography signals produced by skeletal muscles during the execution of hand gestures has found many applications in human–machine interface, myoelectric control, rehabilitation, and other domains. The availability and diversity of electromyography data has encouraged advancements in processing and data analysis algorithms that pave the way for the development of more complex applications. This