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Experimental study on visual detection for fatigue of fixed-position staff.
Baisheng Nie1, Xin Huang1, Yang Chen2
1School of Resources and Safety Engineering, China University of Mining and Technology (Beijing), D 11, Xueyuan Road, Haidian District, Beijing, 100083, China; State Key Lab of Coal Resources and Safe Mining, China University of Mining and Technology (Beijing), D 11, Xueyuan Road, Haidian District, Beijing, 100083, China.
This study introduces a non-contact visual method to monitor fatigue in fixed-position workers. Key indicators like eye closure time and blink frequency can effectively detect worker fatigue, improving safety.
Area of Science:
- Occupational Health
- Human Factors Engineering
- Biomedical Engineering
Background:
- Fatigue significantly impacts work performance, safety, and health.
- Existing fatigue research primarily focuses on dynamic tasks (e.g., driving, piloting), neglecting fixed-position roles.
- There is a need for effective fatigue monitoring methods for sedentary or fixed-position workers.
Purpose of the Study:
- To develop and validate a non-contact visual image method for assessing fatigue in fixed-position personnel.
- To establish objective fatigue thresholds based on ocular parameters.
- To provide a tool for early fatigue detection and accident prevention in occupational settings.
Main Methods:
- Utilized a non-contact visual image analysis technique.
- Recorded and processed visual data from subjects experiencing fatigue.
- Analyzed key ocular indicators: eye closure time, Percentage of Eyelid Closure (PERCLOS), blink frequency, and blink rate.
Main Results:
- Demonstrated significant differences in ocular indicators before and after induced fatigue.
- Identified specific thresholds for fatigue detection: eye closure time > 3.5 s/min, PERCLOS > 6%, and blink frequency > 0.4 times/s.
- Validated the effectiveness of visual monitoring for fatigue assessment.
Conclusions:
- The non-contact visual method offers a reliable approach to monitor fatigue in fixed-position workers.
- Established objective criteria for fatigue detection, aiding in risk management.
- This method can contribute to enhanced workplace safety and accident reduction.
