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dc.contributor.authorEndo, Ken
dc.contributor.authorHerr, Hugh M.
dc.date.accessioned2010-10-13T19:34:16Z
dc.date.available2010-10-13T19:34:16Z
dc.date.issued2009-12
dc.date.submitted2009-10
dc.identifier.isbn978-1-4244-3803-7
dc.identifier.otherINSPEC Accession Number: 11009977
dc.identifier.urihttp://hdl.handle.net/1721.1/59292
dc.description.abstractIn this paper, we present an under-actuated model of human walking, comprising only a soleus muscle and flexion/extension monoarticular hip muscles. The remaining muscle groups of the human leg are modeled using quasi-passive, series-elastic clutch elements. We hypothesize that series-elastic clutch units spanning the knee joint in a musculoskeletal arrangement can capture the dominant mechanical behaviors of the human knee in level-ground walking. As an evaluation of the musculoskeletal model, we vary model parameters, or spring constants, and muscle control parameters using an optimization scheme that maximizes walking distance and minimizes the mechanical economy of walking. We used a positive force feedback reflex control for the model's soleus muscle, and upper body position control for the hip muscles. The model's clutches were engaged/disengaged using simple state machine controllers. For model evaluation, a forward dynamics simulation was conducted, and the resulting mechanics were compared to human walking data. The model makes qualitative predictions of joint mechanics, electromyography and mechanical economy.en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/IROS.2009.5354230en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceIEEEen_US
dc.titleHuman walking model predicts joint mechanics, electromyography and mechanical economyen_US
dc.typeArticleen_US
dc.identifier.citationEndo, K., and H. Herr. “Human walking model predicts joint mechanics, electromyography and mechanical economy.” Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on. 2009. 4663-4668. © Copyright 2010 IEEEen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.contributor.approverHerr, Hugh M.
dc.contributor.mitauthorEndo, Ken
dc.contributor.mitauthorHerr, Hugh M.
dc.relation.journalProceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009en_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsEndo, Ken; Herr, Hughen
dc.identifier.orcidhttps://orcid.org/0000-0003-3169-1011
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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