Development of Real-Time Driver's Health Detection System by Using Smart Handle



Hao LIU Jae-Cheon LEE Yoon Nyun KIM Yun Seok HEO


The number of vehicle accidents due to driver's drowsiness continues to increase. Therefore, prompt and effective detection for driver's health during driving is crucial to improvement of traffic safety. A set of real-time health
detection system built-in a smart handle for driver is proposed in the research. By monitoring driver’s biological signals, including respiration, hand gripping force, photoplethysmogram (PPG), and electrocardiogram (ECG), driver's health condition (drowsiness) is able to be detected via the developed algorithm. Meanwhile the driver's state of arrhythmia can be diagnosed too. The test results indicate that the developed real-time driver’s health detection  system can effectively monitor not only the state of vigilance but also the state of arrhythmia of a driver.

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