Classification of human gait features with different apparel and walking speed

Hu, Ng and Tong, Hau-Lee and Tan, Wooi-Haw and J. Abdullah, (2010) Classification of human gait features with different apparel and walking speed. In: 2010 10th International Conference on Information Sciences Signal Processing and their Applications (ISSPA). IEEE, 662- 665. ISBN 978-1-4244-7165-2

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Abstract

In this paper, we proposed a new approach for the classification of human gait features with different apparel and various walking speed. The approach consists of two parts: extraction of human gait features from enhanced human silhouette and classification of the extracted human gait features using fuzzy k-nearest neighbours (KNN). The joint angles together with the height, width and crotch height of the human silhouette are collected and used for gait analysis. The training and the testing sets are separable without overlapping. Both sets involve nine different apparel and three walking speed. From the experiment conducted, it can be observed that the proposed system is feasible as satisfactory results have been achieved.

Item Type: Book Section
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 06 Nov 2013 02:09
Last Modified: 06 Nov 2013 02:09
URI: http://shdl.mmu.edu.my/id/eprint/4369

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