An In-Vehicle Physiological Signal Monitoring System for Driver Fatigue Detection

摘要: This paper describes the development of an in-vehicle measurement system that monitors physiological signals (i.e., heart rate, rate variation, breathing and eye blinking) drivers. These will be utilized to detect onset driver fatigue, crucial for timely applying drowsiness countermeasures. Fatigue driving is one most significant factors causing traffic accidents. Clinic research has found are good indicators drowsiness. A conventional bioelectrical signal requires electrodes in contact with human body. not only interferes normal operation, but also feasible long term monitoring purpose. study developed a non-contact sensing platform can remotely real time. With delicate sensor electronics design, associated electrocardiography (ECG), blinking measured. The current Electrocardiography (ECG) effective distance up 30 cm away from It provides sensitive such as breathing, etc. performance was validated on high fidelity simulator. Digital processing algorithms been decimate noise automate analyses. characteristics indicative i.e., (HR), variability (HRV), breath frequency frequency, determined. robust indicator being by coupling multiple parameters achieve reliability detection.