| Reconstruction and EMG-informed control, simulation and analysis of human movement for athletics: Performance improvement and injury prevention. | |
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MedLine Citation:
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PMID: 19964175 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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In this paper we present methods to track and characterize human dynamic skills using motion capture and electromographic sensing. These methods are based on task-space control to obtain the joint kinematics and extract the key physiological parameters and on computed muscle control to solve the muscle force distribution problem. We also present a dynamic control and analysis framework that integrates these metrics for the purpose of reconstructing and analyzing sports motions in real-time. |
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Authors:
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Emel Demircan; Oussama Khatib; Jason Wheeler; Scott Delp |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference Volume: 1 ISSN: 1557-170X ISO Abbreviation: Conf Proc IEEE Eng Med Biol Soc Publication Date: 2009 |
Date Detail:
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Created Date: 2009-12-07 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101243413 Medline TA: Conf Proc IEEE Eng Med Biol Soc Country: United States |
Other Details:
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Languages: eng Pagination: 6534-7 Citation Subset: IM |
Affiliation:
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Mechanical Engineering Department, Stanford University, Stanford, CA 94305 USA. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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