Human body forearm surface electromyogram signal acquisition and pattern recognition system
作者： Jingzhao Wen , Quan Liu , Qingsong Ai , Cheng Liu
DOI:
关键词: Pattern recognition (psychology) 、 Computer vision 、 Extensor Carpi Radialis Longus 、 Sampling (signal processing) 、 Signal 、 Data acquisition 、 Artificial intelligence 、 Forearm 、 Wrist 、 Signal processing 、 Computer science
摘要: The invention discloses a human body forearm surface electromyogram signal acquisition and pattern recognition system comprising an circuit, PCI (programmable communication interface) data card processing motion unit, wherein the circuit is used for acquiring, filtering amplifying signal, carrying out AD (analog-to-digital) sampling conversion on acquired analog to obtain digital unit signals from four muscles, namely brachioradial muscle, extensor carpi radialis longus, musculus ulnaris flexor of right hand body, extracting characteristics recognizing six motions, making fist by wrist stretching hands, turning hands down, up, inward outward combining support vector machine. According invention, (SEMG) online mode study platform with low cost, good instantaneity high rate realized.
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