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Extraction of bodily features for gait recognition and gait attractiveness evaluation

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Abstract

Although there has been much previous research on which bodily features are most important in gait analysis, the questions of which features should be extracted from gait, and why these features in particular should be extracted, have not been convincingly answered. The primary goal of the study reported here was to take an analytical approach to answering these questions, in the context of identifying the features that are most important for gait recognition and gait attractiveness evaluation. Using precise 3D gait motion data obtained from motion capture, we analyzed the relative motions from different body segments to a root marker (located on the lower back) of 30 males by the fixed root method, and compared them with the original motions without fixing root. Some particular features were obtained by principal component analysis (PCA). The left lower arm, lower legs and hips were identified as important features for gait recognition. For gait attractiveness evaluation, the lower legs were recognized as important features.

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Acknowledgments

We thank the Dorothy Hodgkin Postgraduate Award to Jie Hong and HEFCE SRIF2 project BRUN 07/033 funding for motion capture system.

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Authors and Affiliations

  1. School of Engineering & Design, Brunel University, Uxbridge, Middlesex, UB8 3PH, UK

    Jie Hong & Jinsheng Kang

  2. Department of Psychology, Brunel University, Uxbridge, Middlesex, UB8 3PH, UK

    Michael E. Price

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  1. Jie Hong
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  2. Jinsheng Kang
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  3. Michael E. Price
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Correspondence to Jinsheng Kang.

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Hong, J., Kang, J. & Price, M.E. Extraction of bodily features for gait recognition and gait attractiveness evaluation. Multimed Tools Appl 71, 1999–2013 (2014). https://doi.org/10.1007/s11042-012-1319-2

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  • DOI: https://doi.org/10.1007/s11042-012-1319-2

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