Monitoring Interface Design Based on Real-time Fatigue Detection

In video monitoring tasks, surveillance personnel are required to monitor video content over an extended period of time. When workers get into fatigue state, their working efficiency and cognitive performance tend to decrease, and they are more likely to get distracted. Therefore, in the context of prolonged and monotonous vigilance task, workers' cognitive load should be lowered and their ability of concentrating should be improved as an effort to sustain their work performance. This study combined facial recognition techniques which detect workers' fatigue state with computer camera, and improved user interface to boost workers' working efficiency. This paper provides a new idea of the design of self-adaptive user interface based on fatigue detection.

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