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The Scientific World Journal
Volume 2014, Article ID 136018, 8 pages
http://dx.doi.org/10.1155/2014/136018
Research Article

Gait Signal Analysis with Similarity Measure

1Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China
2Department of Information Security, Tongmyong University, Sinseonno, Nam-gu, Busan 608-711, Republic of Korea

Received 25 April 2014; Accepted 10 June 2014; Published 7 July 2014

Academic Editor: T. O. Ting

Copyright © 2014 Sanghyuk Lee and Seungsoo Shin. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [1 citation]

The following is the list of published articles that have cited the current article.

  • Aleš Procházka, Oldřich Vyšata, Martin Vališ, Ondřej Ťupa, Martin Schätz, and Vladimír Mařík, “Use of the image and depth sensors of the Microsoft Kinect for the detection of gait disorders,” Neural Computing and Applications, vol. 26, no. 7, pp. 1621–1629, 2015. View at Publisher · View at Google Scholar