Abstract

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.

Highlights

  • Healthy, adult gait is often characterized as a bilateral symmetrical behavior, and such symmetry is advantageous because it increases energetic efficiency [1]

  • While limb motions during human gait have been studied for nearly 170 years [38], the techniques that are commonly used to quantitatively describe limb motion are extremely simplistic and are either (i) unable to capture the complexity of human movement, (ii) unable to quantitatively assess covariation in joint posture within and between limbs, or (iii) difficult for clinical practitioners to relate to patient populations

  • Our analyses with Generalized Procrustes Analysis (GPA), PA and Parallel Factor Analysis (PARAFAC) have revealed that gait cycle shapes associated with various lower limb impairments can be meaningfully characterized and distinguished from healthy motion patterns [53]

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Summary

Introduction

Adult gait is often characterized as a bilateral symmetrical behavior, and such symmetry is advantageous because it increases energetic efficiency [1]. While there has been a large body of research examining healthy gait and various forms of pathological or injured gait, at present there are few tools designed to quantitatively measure deviations from symmetrical gait and to track changes in deviations over time. We begin with a brief review of past work examining symmetry in human gait, and provide an overview of the tools that we have been developing. In this later section, we review examples from our research to highlight the use of these tools

Gait Symmetry
Multivariate Analyses of Human and Animal Gait and Motion
Need for New Analysis Tools
New Tools for Capturing the Multivariate and Dynamic Nature of Gait
Complexity and Variability of Phase Portraits
Shape-alignment and Decomposition Analyses
Application beyond Gait
Conclusions
Advantages of New Methods
Findings
Summary

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