Objective fatigue measurement through adaptive neuro-fuzzy inference system

Authors

Sina Ameli, University of WollongongFollow
Fazel Naghdy, University of WollongongFollow
David Stirling, University of WollongongFollow
Golshah Naghdy, University of WollongongFollow
Morteza Aghmesheh, University of WollongongFollow

RIS ID

113266

Publication Details

S. Ameli, F. Naghdy, D. Stirling, G. Naghdy & M. Aghmesheh, "Objective fatigue measurement through adaptive neuro-fuzzy inference system," in 23rd International Conference on Mechatronics and Machine Vision in Practice (M2VIP), 2016, pp. 1-6.

Abstract

Quantitative measurement of physical exercises-induced fatigue is a crucial need in sports engineering. Fatigue reduces physical performance of sports players and lack of appropriate measurement causes harmful injuries. This study provides a comprehensive objective evaluation of physical exercises-induced fatigue by using adaptive neuro fuzzy inference system (ANFIS) method. A set of kinematic data of 23 body segments are collected through 17 wireless inertial sensors attached to body segments. The inertial data are subsequently trained through ANFIS to identify the relationship between acceleration data, body postures and the amount of kinetic energies produced by 8 subjects including male and female. The results clearly show the advantages of ANFIS in measuring the fatigue effects on general ambulatory performance.