A Review of New Analytic Techniques for Quantifying Symmetry in Locomotion
We present a review of novel techniques developed by our research group to improve quantitative assessment of human movement, especially assessments related to symmetric and asymmetric gait patterns. These new methods use motion capture data of the lower limb joints (e.g., joint and body segment ang...
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MDPI AG
2010-06-01
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Series: | Symmetry |
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Online Access: | http://www.mdpi.com/2073-8994/2/2/1135/ |
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doaj-9adc7e67fd0842d1b2a1bf546f57cfcb2020-11-24T23:34:32ZengMDPI AGSymmetry2073-89942010-06-01221135115510.3390/sym2021135A Review of New Analytic Techniques for Quantifying Symmetry in LocomotionElizabeth T. Hsiao-WeckslerJohn D. PolkKarl S. RosengrenJacob J. SosnoffSungjin HongWe present a review of novel techniques developed by our research group to improve quantitative assessment of human movement, especially assessments related to symmetric and asymmetric gait patterns. These new methods use motion capture data of the lower limb joints (e.g., joint and body segment angular position and/or velocity, or joint center locations) and include: (1) Regions of Deviation (ROD) analysis, (2) complexity and variability of phase portraits, and (3) multivariate shape-alignment and decomposition. We provide example demonstrations of these techniques using data from infants, typical and atypically developing children, simulated injuries of a knee or ankle, and wheelchair propulsion. http://www.mdpi.com/2073-8994/2/2/1135/gaitsymmetrycomplexity and variabilitybiomechanicsjoint motionmovement analysisPARAFAC |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Elizabeth T. Hsiao-Wecksler John D. Polk Karl S. Rosengren Jacob J. Sosnoff Sungjin Hong |
spellingShingle |
Elizabeth T. Hsiao-Wecksler John D. Polk Karl S. Rosengren Jacob J. Sosnoff Sungjin Hong A Review of New Analytic Techniques for Quantifying Symmetry in Locomotion Symmetry gait symmetry complexity and variability biomechanics joint motion movement analysis PARAFAC |
author_facet |
Elizabeth T. Hsiao-Wecksler John D. Polk Karl S. Rosengren Jacob J. Sosnoff Sungjin Hong |
author_sort |
Elizabeth T. Hsiao-Wecksler |
title |
A Review of New Analytic Techniques for Quantifying Symmetry in Locomotion |
title_short |
A Review of New Analytic Techniques for Quantifying Symmetry in Locomotion |
title_full |
A Review of New Analytic Techniques for Quantifying Symmetry in Locomotion |
title_fullStr |
A Review of New Analytic Techniques for Quantifying Symmetry in Locomotion |
title_full_unstemmed |
A Review of New Analytic Techniques for Quantifying Symmetry in Locomotion |
title_sort |
review of new analytic techniques for quantifying symmetry in locomotion |
publisher |
MDPI AG |
series |
Symmetry |
issn |
2073-8994 |
publishDate |
2010-06-01 |
description |
We present a review of novel techniques developed by our research group to improve quantitative assessment of human movement, especially assessments related to symmetric and asymmetric gait patterns. These new methods use motion capture data of the lower limb joints (e.g., joint and body segment angular position and/or velocity, or joint center locations) and include: (1) Regions of Deviation (ROD) analysis, (2) complexity and variability of phase portraits, and (3) multivariate shape-alignment and decomposition. We provide example demonstrations of these techniques using data from infants, typical and atypically developing children, simulated injuries of a knee or ankle, and wheelchair propulsion. |
topic |
gait symmetry complexity and variability biomechanics joint motion movement analysis PARAFAC |
url |
http://www.mdpi.com/2073-8994/2/2/1135/ |
work_keys_str_mv |
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