Review of Wrist motion detection methods using electromyography(EMG) signals

Motion detection is one of the most widely used topics in everyday human life and in recent years, researchers have worked on various algorithms in this field. The wrist is a very important joint and performs complex motions and also is made up of a large number of bones and joints that in many cases, these bones and joints cause the hand to move. That is why, review of the motion detection methods are essential especially in the wrist joint. In this paper, we express a brief overview of various wrist motion detection methods. This methods use electromyographic (EMG) signals to detect motion and processing. This signal in addition to some problems, noise and interference compared to other signals, is the best way to record the electrical activity of muscles, especially in the discussion of rehabilitation. Analysis of this methods will also lead to a new innovation in motion detection systems in the future. Therefore, the main purpose of this review paper, is to review recent developments in motion detection in order to provide a basis for rehabilitation and motion in people with wrist injuries.

کلیدواژه ها:

Motion detection ، Electromyogram(EMG) signal ، Wrist