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Accidents due to drowsy driving have shown a steep increase in the past decade. An efficient safety measure is required to mitigate the impact of accidents. This paper details the system architecture for real-time, non-obstructive, automatic detection and alarming for driver drowsiness. Data/sensor fusion technology incorporated with the system monitors the driver drowsiness including fatigue and cardiac problems. Alertness of the driver is monitored by analyzing the heart rate by a noninvasive method. The system reads the pulse rate of the driver through multimodal physiological sensor unit embedded on steering wheel.
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