| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 387110 | Expert Systems with Applications | 2010 | 5 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Su Xu, Xu Zhou, Yi-Ning Sun,