Experimental Study on Assessment on Impact of Biometric Parameters on Drowsiness Detection

Provided by: The World
Topic: Security
Format: PDF
Working in monotonous environment like vehicle driving, operating a machine for a long time often causes drowsiness leading to fatal accidents. Therefore early detection of fatigued state has become necessary to develop the detection system. In this paper, detection of drowsiness based on biometric parameters like eyelid movement and eyebrow is proposed. Experiment was conducted on sample size of 50 video clips and observed that eyelid movement contributes about 50% and eyebrow contributes about 5%.

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