Gait Variability to Predict Motor Learning of a Novel Motor Task
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2018/08/08
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Description:Motor variability (MV) is a fundamental feature of movement that refers to the variation observed in the spatiotemporal dispersion of joint movements, interjoint coordination patterns, and muscle activities, when an individual completes the same task numerous times. While variability is natural and inherent in any human movement, it was traditionally assumed to be undesirable, as it was thought to contribute to less accurate performance. However, basic motor control research has progressed in recent years, and now suggests that movement variability has important functional implications for the preservation of motor performance, both with respect to short-term adaptations of movement strategies and longer-term motor learning. Existing evidence of motor variability being predictive of motor learning has been reported during simple reaching tasks. Whether this concept is generalizable to other kinds of movements such as gait is currently unknown. [Description provided by NIOSH]
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Pages in Document:67-68
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NIOSHTIC Number:nn:20066075
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Citation:ASB2018: Proceedings of the American Society of Biomechanics Annual Meeting, August 8-11, 2018, Rochester, Minnesota. Newark, DE: American Society of Biomechanics, 2018 Aug; :67-68
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Contact Point Address:Sophia Ulman, Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA
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Email:smu4@vt.edu
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Federal Fiscal Year:2018
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Performing Organization:Virginia Polytechnic Institute and State University, Blacksburg
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Peer Reviewed:False
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Start Date:20010701
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Source Full Name:ASB2018: Proceedings of the American Society of Biomechanics Annual Meeting, August 8-11, 2018, Rochester, Minnesota
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End Date:20260630
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Main Document Checksum:urn:sha-512:c425c6b19b593c8b51bf9b88cab95ca5b7673b7e99a3567bb7603445131bae2adcfe4e68a574d55e5203e675b2c794ab6071d9abbd4198b722d3983b10b3b276
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