Real time tracking algorithm of sEMG-based human arm motion
This paper suggests the real time tracking algorithm for human arm motion by processing the signals of surface EMG (ElectroMyoGram) sensors attached on both upper arm and shoulder. The signals acquired by using surface EMG sensors are processed with choosing the maximum in a short period, taking the...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Tagungsbericht |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 3421 |
|---|---|
| container_issue | |
| container_start_page | 3416 |
| container_title | |
| container_volume | |
| creator | Hyeon-Jae Yu Youngjin Choi |
| description | This paper suggests the real time tracking algorithm for human arm motion by processing the signals of surface EMG (ElectroMyoGram) sensors attached on both upper arm and shoulder. The signals acquired by using surface EMG sensors are processed with choosing the maximum in a short period, taking the absolute value, and filtering noises out with a low-pass filter. The processed signals are directly used for the motion generation of virtual arm in real time simulator. The virtual arm of simulator has two degrees of freedom and complies with the desired flexion/extension motions of both the elbow and shoulder of human. Also, we show the validity of the suggested algorithms through the experimental results. |
| doi_str_mv | 10.1109/IROS.2007.4399238 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_4399238</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4399238</ieee_id><sourcerecordid>4399238</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-c81e530e37b04aabcafac3215194bf26a726230e115db25491aa82223f6e7df53</originalsourceid><addsrcrecordid>eNo90M1OwkAUBeDxh0TAPoBxMy9QvPfOdDoTV4YgkmBIkD25bacwSqlp68K3p0Z0dRZfcnJyhLhDmCCCe1isV28TAkgnWjlHyl6IEWrSGhySvRRDwkTFYI25EpFL7Z8hXf9bYgdi9NNhXE_mRkRt-w4AmBoNSEPxuPZ8kF2ovOwazj_CcSf5sKub0O0rWZeynb3O44xbX8j9V8VHyU0lq7oL9fFWDEo-tD4651hsnmeb6Uu8XM0X06dlHBx0cW7RJwq8SjPQzFnOJeeq34dOZyUZTslQ74hJkVGiHTJbIlKl8WlRJmos7n9rg_d--9mEipvv7fkTdQIFvU1L</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Real time tracking algorithm of sEMG-based human arm motion</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Hyeon-Jae Yu ; Youngjin Choi</creator><creatorcontrib>Hyeon-Jae Yu ; Youngjin Choi</creatorcontrib><description>This paper suggests the real time tracking algorithm for human arm motion by processing the signals of surface EMG (ElectroMyoGram) sensors attached on both upper arm and shoulder. The signals acquired by using surface EMG sensors are processed with choosing the maximum in a short period, taking the absolute value, and filtering noises out with a low-pass filter. The processed signals are directly used for the motion generation of virtual arm in real time simulator. The virtual arm of simulator has two degrees of freedom and complies with the desired flexion/extension motions of both the elbow and shoulder of human. Also, we show the validity of the suggested algorithms through the experimental results.</description><identifier>ISSN: 2153-0858</identifier><identifier>ISBN: 9781424409112</identifier><identifier>ISBN: 142440911X</identifier><identifier>EISSN: 2153-0866</identifier><identifier>EISBN: 1424409128</identifier><identifier>EISBN: 9781424409129</identifier><identifier>DOI: 10.1109/IROS.2007.4399238</identifier><identifier>LCCN: 2007694096</identifier><language>eng</language><publisher>IEEE</publisher><subject>Elbow ; Electromyography ; Humans ; Muscles ; Read only memory ; Shoulder ; Signal generators ; Signal processing ; Signal processing algorithms ; Tracking</subject><ispartof>2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2007, p.3416-3421</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4399238$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,27916,54911</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4399238$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Hyeon-Jae Yu</creatorcontrib><creatorcontrib>Youngjin Choi</creatorcontrib><title>Real time tracking algorithm of sEMG-based human arm motion</title><title>2007 IEEE/RSJ International Conference on Intelligent Robots and Systems</title><addtitle>IROS</addtitle><description>This paper suggests the real time tracking algorithm for human arm motion by processing the signals of surface EMG (ElectroMyoGram) sensors attached on both upper arm and shoulder. The signals acquired by using surface EMG sensors are processed with choosing the maximum in a short period, taking the absolute value, and filtering noises out with a low-pass filter. The processed signals are directly used for the motion generation of virtual arm in real time simulator. The virtual arm of simulator has two degrees of freedom and complies with the desired flexion/extension motions of both the elbow and shoulder of human. Also, we show the validity of the suggested algorithms through the experimental results.</description><subject>Elbow</subject><subject>Electromyography</subject><subject>Humans</subject><subject>Muscles</subject><subject>Read only memory</subject><subject>Shoulder</subject><subject>Signal generators</subject><subject>Signal processing</subject><subject>Signal processing algorithms</subject><subject>Tracking</subject><issn>2153-0858</issn><issn>2153-0866</issn><isbn>9781424409112</isbn><isbn>142440911X</isbn><isbn>1424409128</isbn><isbn>9781424409129</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo90M1OwkAUBeDxh0TAPoBxMy9QvPfOdDoTV4YgkmBIkD25bacwSqlp68K3p0Z0dRZfcnJyhLhDmCCCe1isV28TAkgnWjlHyl6IEWrSGhySvRRDwkTFYI25EpFL7Z8hXf9bYgdi9NNhXE_mRkRt-w4AmBoNSEPxuPZ8kF2ovOwazj_CcSf5sKub0O0rWZeynb3O44xbX8j9V8VHyU0lq7oL9fFWDEo-tD4651hsnmeb6Uu8XM0X06dlHBx0cW7RJwq8SjPQzFnOJeeq34dOZyUZTslQ74hJkVGiHTJbIlKl8WlRJmos7n9rg_d--9mEipvv7fkTdQIFvU1L</recordid><startdate>200710</startdate><enddate>200710</enddate><creator>Hyeon-Jae Yu</creator><creator>Youngjin Choi</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200710</creationdate><title>Real time tracking algorithm of sEMG-based human arm motion</title><author>Hyeon-Jae Yu ; Youngjin Choi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-c81e530e37b04aabcafac3215194bf26a726230e115db25491aa82223f6e7df53</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Elbow</topic><topic>Electromyography</topic><topic>Humans</topic><topic>Muscles</topic><topic>Read only memory</topic><topic>Shoulder</topic><topic>Signal generators</topic><topic>Signal processing</topic><topic>Signal processing algorithms</topic><topic>Tracking</topic><toplevel>online_resources</toplevel><creatorcontrib>Hyeon-Jae Yu</creatorcontrib><creatorcontrib>Youngjin Choi</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hyeon-Jae Yu</au><au>Youngjin Choi</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Real time tracking algorithm of sEMG-based human arm motion</atitle><btitle>2007 IEEE/RSJ International Conference on Intelligent Robots and Systems</btitle><stitle>IROS</stitle><date>2007-10</date><risdate>2007</risdate><spage>3416</spage><epage>3421</epage><pages>3416-3421</pages><issn>2153-0858</issn><eissn>2153-0866</eissn><isbn>9781424409112</isbn><isbn>142440911X</isbn><eisbn>1424409128</eisbn><eisbn>9781424409129</eisbn><abstract>This paper suggests the real time tracking algorithm for human arm motion by processing the signals of surface EMG (ElectroMyoGram) sensors attached on both upper arm and shoulder. The signals acquired by using surface EMG sensors are processed with choosing the maximum in a short period, taking the absolute value, and filtering noises out with a low-pass filter. The processed signals are directly used for the motion generation of virtual arm in real time simulator. The virtual arm of simulator has two degrees of freedom and complies with the desired flexion/extension motions of both the elbow and shoulder of human. Also, we show the validity of the suggested algorithms through the experimental results.</abstract><pub>IEEE</pub><doi>10.1109/IROS.2007.4399238</doi><tpages>6</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 2153-0858 |
| ispartof | 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2007, p.3416-3421 |
| issn | 2153-0858 2153-0866 |
| language | eng |
| recordid | cdi_ieee_primary_4399238 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Elbow Electromyography Humans Muscles Read only memory Shoulder Signal generators Signal processing Signal processing algorithms Tracking |
| title | Real time tracking algorithm of sEMG-based human arm motion |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T18%3A25%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Real%20time%20tracking%20algorithm%20of%20sEMG-based%20human%20arm%20motion&rft.btitle=2007%20IEEE/RSJ%20International%20Conference%20on%20Intelligent%20Robots%20and%20Systems&rft.au=Hyeon-Jae%20Yu&rft.date=2007-10&rft.spage=3416&rft.epage=3421&rft.pages=3416-3421&rft.issn=2153-0858&rft.eissn=2153-0866&rft.isbn=9781424409112&rft.isbn_list=142440911X&rft_id=info:doi/10.1109/IROS.2007.4399238&rft_dat=%3Cieee_6IE%3E4399238%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1424409128&rft.eisbn_list=9781424409129&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=4399238&rfr_iscdi=true |