A novel gait analysis system based on adaptive neuro-fuzzy inference system

被引：9
|
作者：
Su, Xu [1 ,2 ]
Xu, Zhou [2 ]
Yi-Ning, Sun [2 ]
机构：
[1] Univ Sci & Technol China, Dept Auto, Hefei 230027, Anhui, Peoples R China
[2] Chinese Acad Sci, Inst Intelligence Machines, Key Lab Biomimet Sensing Adv Robot Technol, Hefei 230031, Anhui, Peoples R China
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2010年 / 37卷 / 02期
关键词：
Gait; Gait analysis; Adaptive neural-fuzzy inference system; NETWORK; FOOT;
D O I：
10.1016/j.eswa.2009.06.026
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a novel analysis system based on adaptive neuro-fuzzy inference system (ANFIS), which combined the neural network capabilities and fuzzy logic qualitative approaches, was proposed for gait analysis. A practical clinical problem of pes cavus and pes planus classification was used as an example to explain the principal and process of the system. The system was evaluated in terms of training performance and classification accuracies, and the results showed it is high-efficient and is reliable in gait analysis (C) 2009 Elsevier Ltd All rights reserved
引用
收藏
页码：1265 / 1269
页数：5
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