Development of a Real-Time Driver Health Detection System Using a Smart Steering Wheel
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Abstract
The number of vehicle accidents due to driver drowsiness continues to increase. Therefore, prompt and effective detection for driver health during driving is crucial to improvement of traffic safety. A set of real-time health detection system built into a smart steering wheel for the driver is proposed in the paper. The driver's health condition (drowsiness) is detected by a developed algorithm by monitoring the driver’s biological signals, including respiration, hand grip force, photoplethysmogram (PPG), and electrocardiogram (ECG). Meanwhile the driver's state of arrhythmia, as a common cardiac disease, can be diagnosed too. The test results indicate that the developed real-time driver health detection system can effectively monitor the state of vigilance and the cardiac state, i.e. arrhythmia, of the driver.
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drowsiness, driver’s state of vigilance, driver’s state of arrhythmia, smart steering wheel
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