Abstract

Powered exoskeletons are movable machines that are worn on users and detect and respond to their movements. They improve users' abilities, such as strength or speed, by using electric motors, hydraulic systems, etc. Increasingly powerful exoskeletons are being developed, with applications in military, medical, manufacturing, and a variety of other fields. Powered exoskeletons predict human action intentions using a variety of control methods. This paper focuses primarily on the control method of sEMG (surface electromyography) signals, with the goal of reviewing these control strategies used by various powered exoskeletons. The paper concludes from the research that the powered exoskeleton's perception accuracy for the user's motion intention determines its work efficiency and the user's experience. Powered exoskeletons controlled by surface electromyography signals now hold great promise because they can be used for not only general power-assisted exoskeletons, but also for medical rehabilitation.

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