Control methods for intelligent prosthetics based on human-machine interaction

Abstract. Intelligent prosthetics play a crucial role in restoring social functions for people with disabilities. This paper systematically reviews the decoding techniques for motor control information used in intelligent control of prosthetics and the encoding techniques for sensory feedback. The acquisition and decoding of motor information are discussed in terms of signal recording and decoding from the human body and the prosthetic. Sensory feedback in prosthetics is discussed from the perspectives of biomimetic and non-biomimetic feedback. Finally, the development of intelligent prosthetic control is explored, summarizing and forecasting future directions in this field.