Title :
Application of digital signal processor in EMG-based human machine interface
Author :
Zhao Li ; Yuan Pengxian ; Xiao Longteng ; Meng Qingguo
Author_Institution :
Acad. of Autom. & Electr. Eng., Tianjin Univ. of Technol. & Educ., Tianjin, China
Abstract :
The paper presents a electromyography (EMG) acquisition system of human-machine interface. After being transferred through amplifier and AD converter, The EMG signal then goes into feature extraction and classification procedures. finally, gesture recognition is completed and corresponding commands are output to control peripherals. The system, which is based on DSP TMS320F2812, utilize the chip´s rich peripheral and outstanding capability of digital signal processing to complete the work of EMG information acquisition, processing, feature extraction and IO port control. A EMG amplifier and DSP development board were designed in system for hardware, also, DSP algorithm was designed to process EMG information and control IO port. thus a man-machine interface based on embedded technology and miniaturization was built.
Keywords :
analogue-digital conversion; digital signal processing chips; electromyography; feature extraction; gesture recognition; human computer interaction; AD converter; DSP TMS320F2812; DSP development board; EMG information acquisition; EMG signal; EMG-based human machine interface; IO port control; classification procedure; digital signal processing; digital signal processor; electromyography acquisition system; feature extraction; gesture recognition; human-machine interface; Adaptive filters; Band pass filters; Digital filters; Digital signal processing; Electromyography; Feature extraction; User interfaces; DSP; EMG; Human Machine Interface;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6