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A Review of New Analytic Techniques for Quantifying Symmetry in Locomotion

1
Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, IL, USA
2
Department of Anthropology, University of Illinois at Urbana-Champaign, IL, USA
3
Department of Surgery, University of Illinois at Urbana-Champaign, IL, USA
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Department of Psychology, Northwestern University, IL, USA
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Department of Kinesiology & Community Health, University of Illinois at Urbana-Champaign, IL, USA
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Department of Psychology, University of Illinois at Urbana-Champaign, IL, USA
*
Author to whom correspondence should be addressed.
Symmetry 2010, 2(2), 1135-1155; https://doi.org/10.3390/sym2021135
Received: 12 May 2010 / Revised: 9 June 2010 / Accepted: 10 June 2010 / Published: 14 June 2010
(This article belongs to the Special Issue Complexity and Symmetry)
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. View Full-Text
Keywords: gait; symmetry; complexity and variability; biomechanics; joint motion; movement analysis; PARAFAC gait; symmetry; complexity and variability; biomechanics; joint motion; movement analysis; PARAFAC
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MDPI and ACS Style

Hsiao-Wecksler, E.T.; Polk, J.D.; Rosengren, K.S.; Sosnoff, J.J.; Hong, S. A Review of New Analytic Techniques for Quantifying Symmetry in Locomotion. Symmetry 2010, 2, 1135-1155.

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