Application of digital signal processor in EMG-based human machine interface
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...
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creator | Zhao, Li Yuan, Pengxian Xiao, Longteng Meng, Qingguo |
description | 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. |
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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.</description><subject>Adaptive filters</subject><subject>Band pass filters</subject><subject>Digital filters</subject><subject>Digital signal processing</subject><subject>DSP</subject><subject>Electromyography</subject><subject>EMG</subject><subject>Feature extraction</subject><subject>Human Machine Interface</subject><subject>User interfaces</subject><issn>1934-1768</issn><issn>2161-2927</issn><isbn>1424462630</isbn><isbn>9781424462636</isbn><isbn>9787894631046</isbn><isbn>7894631043</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjslqwzAURdUJ6qT-gm70AwI9jdYyhDQtuHTTrIMsPScqnrDcRf--hvZuzuLC4dyQ0tnKVk4ZCVyZW1IIMMCEE_aObEAJpYwwkt-TApxUDKypHkmZ8xdfp7SwwAtS76apS8EvaRzo2NKYLmnxHc3pMqyY5jFgzuNM00AP70fW-IyRXr97P9Deh2sacL0WnFsf8Ik8tL7LWP5zS04vh8_9K6s_jm_7Xc0ScL0wZxpXgZboHYYgjEcHjZBWgjaicVqubeijgwggXQyi4aiDtdHIaLQCuSXPf96EiOdpTr2ff85aW1i98hfcbEw7</recordid><startdate>201007</startdate><enddate>201007</enddate><creator>Zhao, Li</creator><creator>Yuan, Pengxian</creator><creator>Xiao, Longteng</creator><creator>Meng, Qingguo</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201007</creationdate><title>Application of digital signal processor in EMG-based human machine interface</title><author>Zhao, Li ; Yuan, Pengxian ; Xiao, Longteng ; Meng, Qingguo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i105t-96b98153ea9ecc26ae91b23731562b953527ead91d1139dc2b0e5c77d63d65413</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Adaptive filters</topic><topic>Band pass filters</topic><topic>Digital filters</topic><topic>Digital signal processing</topic><topic>DSP</topic><topic>Electromyography</topic><topic>EMG</topic><topic>Feature extraction</topic><topic>Human Machine Interface</topic><topic>User interfaces</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhao, Li</creatorcontrib><creatorcontrib>Yuan, Pengxian</creatorcontrib><creatorcontrib>Xiao, Longteng</creatorcontrib><creatorcontrib>Meng, Qingguo</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhao, Li</au><au>Yuan, Pengxian</au><au>Xiao, Longteng</au><au>Meng, Qingguo</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Application of digital signal processor in EMG-based human machine interface</atitle><btitle>Proceedings of the 29th Chinese Control Conference</btitle><stitle>CHICC</stitle><date>2010-07</date><risdate>2010</risdate><spage>2788</spage><epage>2791</epage><pages>2788-2791</pages><issn>1934-1768</issn><eissn>2161-2927</eissn><isbn>1424462630</isbn><isbn>9781424462636</isbn><eisbn>9787894631046</eisbn><eisbn>7894631043</eisbn><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.</abstract><pub>IEEE</pub><tpages>4</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Adaptive filters Band pass filters Digital filters Digital signal processing DSP Electromyography EMG Feature extraction Human Machine Interface User interfaces |
title | Application of digital signal processor in EMG-based human machine interface |
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