Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/8845
Title: Extraction of bodily features for gait recognition and gait attractiveness evaluation
Authors: Hong, J
Kang, J
Price, ME
Keywords: Gait analysis;Gait features;Gait signatures;Gait attractiveness;Principal component analysis;Walking
Issue Date: 2014
Publisher: Elsevier
Citation: Multimedia Tools and Applications, 71(3), 1999 - 2013, 2014
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.
Description: This is the author's accepted manuscript. The final publication is available at Springer via http://dx.doi.org/10.1007/s11042-012-1319-2. Copyright @ 2012 Springer.
URI: http://link.springer.com/article/10.1007%2Fs11042-012-1319-2
http://bura.brunel.ac.uk/handle/2438/8845
DOI: http://dx.doi.org/10.1007/s11042-012-1319-2
ISSN: 1380-7501
Appears in Collections:Design
Dept of Design Research Papers

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