A Review of Fatigue Detection Methods by Identifying Gait Features
نویسندگان
1 Department of Electronic Engineering, Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran.
2 Department of Electronic Engineering, Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran.
3 Department of Electronic Engineering, Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran.
doi
10.22075/mseee.2025.34096.1157چکیده
Fatigue is a significant factor in unexpected incidents that incur considerable economic and human losses for societies. Consequently, various methods have been developed to detect fatigue, among which gait features analysis is one of the most common. Gait features can be assessed by several techniques, but the most prevalent ones include force plates, wearable sensors, and image processing. This review paper has revealed the different techniques for fatigue detection by categorizing the different methods of gait feature measurement. It has evaluated the strengths and weaknesses of each technique and identified the challenges and future directions for fatigue detection research. The final goal of this study is to investigate and determine the gait features that vary significantly with fatigue and are relevant for fatigue assessment. The study aims to establish the relationship between gait features and fatigue level and to evaluate the reliability of these features and methods for fatigue detection. It also discusses whether further research is needed to develop more valid methods based on gait analysis.
