Human Walking Pattern Recognition Based on KPCA and SVM with Ground Reflex Pressure Signal
Joint Authors
Cao, Chun
Peng, Zhaoqin
Liu, Qiusheng
Pan, Wentao
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-15
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Algorithms based on the ground reflex pressure (GRF) signal obtained from a pair of sensing shoes for human walking pattern recognition were investigated.
The dimensionality reduction algorithms based on principal component analysis (PCA) and kernel principal component analysis (KPCA) for walking pattern data compression were studied in order to obtain higher recognition speed.
Classifiers based on support vector machine (SVM), SVM-PCA, and SVM-KPCA were designed, and the classification performances of these three kinds of algorithms were compared using data collected from a person who was wearing the sensing shoes.
Experimental results showed that the algorithm fusing SVM and KPCA had better recognition performance than the other two methods.
Experimental outcomes also confirmed that the sensing shoes developed in this paper can be employed for automatically recognizing human walking pattern in unlimited environments which demonstrated the potential application in the control of exoskeleton robots.
American Psychological Association (APA)
Peng, Zhaoqin& Cao, Chun& Liu, Qiusheng& Pan, Wentao. 2013. Human Walking Pattern Recognition Based on KPCA and SVM with Ground Reflex Pressure Signal. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1031688
Modern Language Association (MLA)
Peng, Zhaoqin…[et al.]. Human Walking Pattern Recognition Based on KPCA and SVM with Ground Reflex Pressure Signal. Mathematical Problems in Engineering No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-1031688
American Medical Association (AMA)
Peng, Zhaoqin& Cao, Chun& Liu, Qiusheng& Pan, Wentao. Human Walking Pattern Recognition Based on KPCA and SVM with Ground Reflex Pressure Signal. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1031688
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031688