Title :
Human-computer interaction system design based on surface EMG signals
Author :
Han Li ; Xi Chen ; Pengfei Li
Author_Institution :
Nat. Key Lab. of Mechatron. Eng. & Control, Beijing Inst. of Technol., Beijing, China
Abstract :
Surface electromyography signals (SEMG) aquisition is a kind of multi-channel non-invasive detection method. In this paper, we designed a human-computer interaction system based on the multi-channel SEMG of hand motions. The system detects the forearm muscle multi-channel SEMG, the AR model is established to extract the signal eigenvalue and the artificial neural network classifier (BP) is utilized to distinguish the four different gestures that the results of pattern recognition are applied as the quad copter control signals. At last, the results of pattern recognition are used as control signal of aircraft to complete real-time interactive process.
Keywords :
backpropagation; electromyography; feature extraction; gesture recognition; human computer interaction; muscle; neural nets; pattern recognition; AR model; SEMG aquisition; aircraft; artificial neural network classifier; complete real-time interactive process; forearm muscle multichannel SEMG; human-computer interaction system; multichannel noninvasive detection method; pattern recognition; quad copter control signals; surface EMG signals; surface electromyography signal aquisition; Electrodes; Flexible printed circuits; Human computer interaction; Muscles; Neural networks; Pattern recognition; Real-time systems; AR model; human-computer interaction; surface EMG;
Conference_Titel :
Modelling, Identification & Control (ICMIC), 2014 Proceedings of the 6th International Conference on
Conference_Location :
Melbourne, VIC
DOI :
10.1109/ICMIC.2014.7020734
