Rider/bicycle pose estimation with IMU/seat force measurements
Unstable bicycle provides an excellent platform to understand human sensorimotor mechanism for balancing control. We present an instrumented bicycle system to study the dynamic interactions between the human rider and the bicycle. A dynamics model is presented to capture the energetic interactions b...
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creator | Yizhai Zhang Fei Liu Trkov, M. Jingang Yi |
description | Unstable bicycle provides an excellent platform to understand human sensorimotor mechanism for balancing control. We present an instrumented bicycle system to study the dynamic interactions between the human rider and the bicycle. A dynamics model is presented to capture the energetic interactions between the rider and the bicycle. We use and integrate the measurements from the seat force sensor and the rider body-mounted inertial measurement unit (IMU) to estimate both the rider's and bicycle's poses. Experimental results are presented to demonstrate the capability of the pose estimation development. |
doi_str_mv | 10.1109/AIM.2012.6265934 |
format | Conference Proceeding |
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We present an instrumented bicycle system to study the dynamic interactions between the human rider and the bicycle. A dynamics model is presented to capture the energetic interactions between the rider and the bicycle. We use and integrate the measurements from the seat force sensor and the rider body-mounted inertial measurement unit (IMU) to estimate both the rider's and bicycle's poses. Experimental results are presented to demonstrate the capability of the pose estimation development.</description><subject>Bicycles</subject><subject>Estimation</subject><subject>Force</subject><subject>Force measurement</subject><subject>Force sensors</subject><subject>Humans</subject><subject>Mathematical model</subject><issn>2159-6247</issn><issn>2159-6255</issn><isbn>1467325759</isbn><isbn>9781467325752</isbn><isbn>9781467325769</isbn><isbn>9781467325745</isbn><isbn>1467325767</isbn><isbn>1467325740</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9kM1KAzEYReMfWOvsBTfzAjOTfPnfCKVUHWgRxK5LkvkGI522TCLSt1ewujqLA4fLJeSO0ZoxaptZu6qBMqgVKGm5OCOF1YYJpTlIrew5mQCTtlIg5QW5-RPSXv4Loa9JkdIHpZRRIwH4hDy8xg7HxsdwDFssD_uEJaYcB5fjfld-xfxetqt1k9Dlst-PAcsBXfocccBdTrfkqnfbhMWJU7J-XLzNn6vly1M7ny2rAAC5Yl6KIIO1TgukAQ31VLpgtOh6JxQFD7bDnhnfaSZ6rjullOHGS2WUZp5Pyf1vNyLi5jD-7BuPm9MV_BsDl0zy</recordid><startdate>201207</startdate><enddate>201207</enddate><creator>Yizhai Zhang</creator><creator>Fei Liu</creator><creator>Trkov, M.</creator><creator>Jingang Yi</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201207</creationdate><title>Rider/bicycle pose estimation with IMU/seat force measurements</title><author>Yizhai Zhang ; Fei Liu ; Trkov, M. ; Jingang Yi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c222t-1b54c5c99a74e0ce80b05ac874dfa4602b29def18bd714f37d666838b568671b3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Bicycles</topic><topic>Estimation</topic><topic>Force</topic><topic>Force measurement</topic><topic>Force sensors</topic><topic>Humans</topic><topic>Mathematical model</topic><toplevel>online_resources</toplevel><creatorcontrib>Yizhai Zhang</creatorcontrib><creatorcontrib>Fei Liu</creatorcontrib><creatorcontrib>Trkov, M.</creatorcontrib><creatorcontrib>Jingang Yi</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>Yizhai Zhang</au><au>Fei Liu</au><au>Trkov, M.</au><au>Jingang Yi</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Rider/bicycle pose estimation with IMU/seat force measurements</atitle><btitle>2012 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)</btitle><stitle>AIM</stitle><date>2012-07</date><risdate>2012</risdate><spage>604</spage><epage>609</epage><pages>604-609</pages><issn>2159-6247</issn><eissn>2159-6255</eissn><isbn>1467325759</isbn><isbn>9781467325752</isbn><eisbn>9781467325769</eisbn><eisbn>9781467325745</eisbn><eisbn>1467325767</eisbn><eisbn>1467325740</eisbn><abstract>Unstable bicycle provides an excellent platform to understand human sensorimotor mechanism for balancing control. We present an instrumented bicycle system to study the dynamic interactions between the human rider and the bicycle. A dynamics model is presented to capture the energetic interactions between the rider and the bicycle. We use and integrate the measurements from the seat force sensor and the rider body-mounted inertial measurement unit (IMU) to estimate both the rider's and bicycle's poses. Experimental results are presented to demonstrate the capability of the pose estimation development.</abstract><pub>IEEE</pub><doi>10.1109/AIM.2012.6265934</doi><tpages>6</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Bicycles Estimation Force Force measurement Force sensors Humans Mathematical model |
title | Rider/bicycle pose estimation with IMU/seat force measurements |
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