Research on Hand Action Pattern Recognition of Bionic Limb Based on Surface Electromyography

Hands are important parts of a human body. It is not only the main tool for people to engage in productive labor, but also an communication tool. When hand moves, body produces kind signal named surface electromyography (sEMG), which electrophysiological that accompanies muscle activity. contains lot information about movement consciousness. The bionic limb driven by multi-degree-freedom control, got converting recognition result and this can meet urgent need with disabilities autonomous operation. A profound study action pattern technology based on sEMG signals achieve ability distinguish fast accurately. From perspective limb, paper discussed sEMG. By analyzing summarizing current development recognition, author proposed schema artificial neural network improved DT-SVM system. According research results, it necessary expand type total amount movements gesture order adapt objective requirements diversity patterns application limb.