Surface electromyogram signal identification method based on LDA algorithm
A technology of myoelectric signal and recognition method, which is applied in the field of pattern recognition and can solve problems such as the decline of recognition rate
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[0054] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.
[0055] Now, taking the eight types of grasping gestures to be recognized as examples, combined with the technical solution proposed by the present invention, detailed operation steps and specific recognition results are given.
[0056] Step 1. Clean the skin, scrape off the hairs on the epidermis of the selected muscle, wash it with clean water and wipe the skin with a cotton swab dipped in medical alcohol. According to the muscle distribution of the human forearm, select the corresponding muscle. Because the eight types of grasping gestures mainly involve the flexion and extension of the thumb and the remaining four fingers, the flexor hallucis longus and flexor digitorum superficialis were selected as the source of surface electromyographic signal collection;
[0057] Step 2: Collect the surface electromyographic signals of the subject's for...
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