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

Authors:
Su Xu;Xu Zhou;Yi-Ning Sun
Affiliations:
The Key laboratory of Biomimetic Sensing and Advanced Robot Technology, Institute of Intelligence Machines, Chinese Academy of Science, Hefei, Anhui 230031, China and Dept. of Auto., University of ...;The Key laboratory of Biomimetic Sensing and Advanced Robot Technology, Institute of Intelligence Machines, Chinese Academy of Science, Hefei, Anhui 230031, China;The Key laboratory of Biomimetic Sensing and Advanced Robot Technology, Institute of Intelligence Machines, Chinese Academy of Science, Hefei, Anhui 230031, China
Venue:
Expert Systems with Applications: An International Journal
Year:
2010

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Abstract

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.