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...

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Bibliographic Details
Main Authors: Ryusuke Miyamoto, Risako Aoki
Format: Article
Language:English
Published: International Institute of Informatics and Cybernetics 2015-06-01
Series:Journal of Systemics, Cybernetics and Informatics
Subjects:
Online Access:http://www.iiisci.org/Journal/CV$/sci/pdfs/SA224OU15.pdf