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Experimental Study on Assessment of Impact of Biometric Parameter’s Fusion on Drowsiness Detection Using Support Vector Machine

V B Hemadri

Abstract


Working in monotonous environment like driving vehicle, 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 fusion of biometric parameters like eyelid movement, eyebrow, head position and geometrical features of mouth is proposed. Experiment was conducted on sample size of 50 video clips of 640x480 resolutions and observed that the impact of eyelid movement and geometrical features of mouth has more than eyebrow and head position on drowsiness.

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References


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DOI: http://dx.doi.org/10.21535%2FProICIUS.2013.v9.234

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