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Journal of Sensors
Volume 2016, Article ID 5869238, 18 pages
http://dx.doi.org/10.1155/2016/5869238
Research Article

Abnormal Gait Behavior Detection for Elderly Based on Enhanced Wigner-Ville Analysis and Cloud Incremental SVM Learning

1School of Information Science and Engineering, Central South University, Changsha, Hunan 410083, China
2Hunan College of Information, Changsha, Hunan 410083, China

Received 25 November 2015; Accepted 26 January 2016

Academic Editor: Parham Aarabi

Copyright © 2016 Jian Luo et al. 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.

Supplementary Material

The Supplementary Materials including: A copy of original abnormal gait behavior data of one objects collected in experiments. A complete MP decomposition process of falling forward ending lying. Demo video frames illustration shown to the study participants.

  1. Supplementary Material