Wireless Patrol Sign-In System with Mental Fatigue Detection

Area of Science:

• Occupational Health
• Biomedical Engineering
• Human Factors Engineering

Background:

• Current security guard sign-in methods (signature, image, fingerprint) fail to assess physical and mental conditions.
• Long working hours can lead to mental fatigue and burnout in security personnel.
• Existing systems do not accurately reflect on-duty guard status, potentially compromising safety.

Purpose of the Study:

• To design and validate a patrolling sign-in system integrating physiological signals and images.
• To monitor the physical and mental status, specifically fatigue levels, of security guards.
• To determine guard punctuality and suitability for duty.

Main Methods:

• Developed a system combining a thermometer, hand dynamometer, and electromyography (EMG) sensor.
• Measured physiological signals to assess muscle fatigue.
• Integrated image analysis for comprehensive status monitoring.

Main Results:

• Hand grip strength and median frequency of EMG signals decreased with muscle fatigue.
• The system accurately determined sign-in punctuality.
• The system effectively identified guards who should remain on duty based on fatigue levels.

Conclusions:

• The integrated physiological and image-based sign-in system is effective for monitoring security guards on long shifts.
• This system offers a solution for preventing burnout and stress by monitoring guard fatigue.
• Further large-scale testing is recommended for this conceptual prototype.