Objective fatigue measurement through adaptive neuro-fuzzy inference system
- Resource Type
- Conference
- Authors
- Ameli, Sina; Naghdy, Fazel; Stirling, David; Naghdy, Golshah; Aghmesheh, Morteza
- Source
- 2016 23rd International Conference on Mechatronics and Machine Vision in Practice (M2VIP) Mechatronics and Machine Vision in Practice (M2VIP), 2016 23rd International Conference on. :1-6 Nov, 2016
- Subject
- Bioengineering
Robotics and Control Systems
Signal Processing and Analysis
Fatigue
Motion segmentation
Sensors
Protocols
Fuzzy logic
Kinematics
Acceleration
Quantitative fatigue measurment
physical exercises-induced fatigue
ANFIS
inertial sensors
- Language
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.