Multi-channel sEMG detection and pattern recognition

In this article, the database of sEMG corresponding to the six gestures with two,four and eight channels is collected and established through increasing the number of surface electrode muscle telecommunication reasonably.Two-channel method used in the previous studies in laboratory is improved to make the method suitable for four-channel and eight-channel.On this basis ,the activity of sEMG is detected,the feature of sEMG is extracted and the pattern of six gestures is recognized.By analysing the experimental result, an increase in the number of channel is beneficial to the improvement of recognition rate.