A study on precognition of walking patterns for a power assist robot legs
In recent times, The assist robots are widely used to assist walking of the old and the weak and disabled as well as to rehabilitate the injured by helping with muscle strengthening exercises. In this study, we present walking patterns method of precognition for the control of the walking-assistance...
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| creator | Dae Seob Shin Hyeongcheol Lee |
| description | In recent times, The assist robots are widely used to assist walking of the old and the weak and disabled as well as to rehabilitate the injured by helping with muscle strengthening exercises. In this study, we present walking patterns method of precognition for the control of the walking-assistance robot legs for the old and the infirm. We extracted the precognition signals of walking patterns using the union of EMG(Electromyogram)signal and EEG(electroencephalogram) Signal for smooth operation of robots by judging the operation patterns in advance when people and equipped with the Assistance robot. We also proposed HMM(Hidden Markov Model) parameter of re-estimation using Forward-Backward Procedure Algorithm. We believe that this signal can be used for the effective operation of Assistance robots. |
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In this study, we present walking patterns method of precognition for the control of the walking-assistance robot legs for the old and the infirm. We extracted the precognition signals of walking patterns using the union of EMG(Electromyogram)signal and EEG(electroencephalogram) Signal for smooth operation of robots by judging the operation patterns in advance when people and equipped with the Assistance robot. We also proposed HMM(Hidden Markov Model) parameter of re-estimation using Forward-Backward Procedure Algorithm. 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In this study, we present walking patterns method of precognition for the control of the walking-assistance robot legs for the old and the infirm. We extracted the precognition signals of walking patterns using the union of EMG(Electromyogram)signal and EEG(electroencephalogram) Signal for smooth operation of robots by judging the operation patterns in advance when people and equipped with the Assistance robot. We also proposed HMM(Hidden Markov Model) parameter of re-estimation using Forward-Backward Procedure Algorithm. We believe that this signal can be used for the effective operation of Assistance robots.</description><subject>Assistance Robot Legs</subject><subject>EEG</subject><subject>Electroencephalography</subject><subject>Electromyography</subject><subject>EMG</subject><subject>Hidden Markov models</subject><subject>Legged locomotion</subject><subject>Muscles</subject><subject>Precognition</subject><subject>Service robots</subject><subject>Walking Pattern</subject><issn>2093-7121</issn><isbn>1457708353</isbn><isbn>9781457708350</isbn><isbn>8993215030</isbn><isbn>9788993215038</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjM1qAyEYAC1toUmaJ-jFF1hQv1XXYwj9CQRyyT3o-rnYbtdFLSFv34V2LsNc5o6sO2NAcMmA3ZM1b6XWrAMJD2QlmIFGc8GfyLaUT7aglGHQrshhR0v98TeaJjpn7NMwxRqXSIFe7fgVp4HOtlbMU6EhZWrpnK64uJRYKs3JpUpHHMozeQx2LLj994ac317P-4_meHo_7HfHJhpWG3S875hhQRoZOChApRwPyjtnvdBeG1SyB_BoOuUNBwSvW6-CdjbYvoUNefnbRkS8zDl-23y7KM4UcAG_WIlKDw</recordid><startdate>201110</startdate><enddate>201110</enddate><creator>Dae Seob Shin</creator><creator>Hyeongcheol Lee</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201110</creationdate><title>A study on precognition of walking patterns for a power assist robot legs</title><author>Dae Seob Shin ; Hyeongcheol Lee</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-eb1c8090f595f1363e66b1f6dbbad27d79e65c33de986d913e3d74d6f7bafac43</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Assistance Robot Legs</topic><topic>EEG</topic><topic>Electroencephalography</topic><topic>Electromyography</topic><topic>EMG</topic><topic>Hidden Markov models</topic><topic>Legged locomotion</topic><topic>Muscles</topic><topic>Precognition</topic><topic>Service robots</topic><topic>Walking Pattern</topic><toplevel>online_resources</toplevel><creatorcontrib>Dae Seob Shin</creatorcontrib><creatorcontrib>Hyeongcheol Lee</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>Dae Seob Shin</au><au>Hyeongcheol Lee</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A study on precognition of walking patterns for a power assist robot legs</atitle><btitle>2011 11th International Conference on Control, Automation and Systems</btitle><stitle>ICCAS</stitle><date>2011-10</date><risdate>2011</risdate><spage>1045</spage><epage>1047</epage><pages>1045-1047</pages><issn>2093-7121</issn><isbn>1457708353</isbn><isbn>9781457708350</isbn><eisbn>8993215030</eisbn><eisbn>9788993215038</eisbn><abstract>In recent times, The assist robots are widely used to assist walking of the old and the weak and disabled as well as to rehabilitate the injured by helping with muscle strengthening exercises. In this study, we present walking patterns method of precognition for the control of the walking-assistance robot legs for the old and the infirm. We extracted the precognition signals of walking patterns using the union of EMG(Electromyogram)signal and EEG(electroencephalogram) Signal for smooth operation of robots by judging the operation patterns in advance when people and equipped with the Assistance robot. We also proposed HMM(Hidden Markov Model) parameter of re-estimation using Forward-Backward Procedure Algorithm. We believe that this signal can be used for the effective operation of Assistance robots.</abstract><pub>IEEE</pub><tpages>3</tpages></addata></record> |
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| ispartof | 2011 11th International Conference on Control, Automation and Systems, 2011, p.1045-1047 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Assistance Robot Legs EEG Electroencephalography Electromyography EMG Hidden Markov models Legged locomotion Muscles Precognition Service robots Walking Pattern |
| title | A study on precognition of walking patterns for a power assist robot legs |
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