Gender Prediction by Gait Analysis Based on Time Series Variation of Joint Positions
In this paper, a novel gender prediction scheme based on a gait analysis is proposed. For the gait analysis, we propose a novel feature extraction scheme that uses the time series vari- ation in the joint positions directly. Here, normalization by linear interpolation is adopted to set the number of...
Main Authors: | Ryusuke Miyamoto, Risako Aoki |
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Format: | Article |
Language: | English |
Published: |
International Institute of Informatics and Cybernetics
2015-06-01
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Series: | Journal of Systemics, Cybernetics and Informatics |
Subjects: | |
Online Access: | http://www.iiisci.org/Journal/CV$/sci/pdfs/SA224OU15.pdf
|
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