Non-Contact Driver Drowsiness Detection System. Safety IDEA Project 17.

摘要

The goal of this Safety IDEA project was to develop a non-contact sensing platform to monitor the physiological signals of drivers such as the electrocardiography (ECG) and/or electroencephalography (EEG), from which the on-set and extent of drowsiness can be detected. Clinical research has found physiological signals are good indicators of drowsiness. Conventional bioelectrical signal measurement system requires the electrodes to be in contact with the human body. That not only interferes with the normal driver operation, but also is not feasible for long term monitoring purposes. Therefore, a non-contact physiological signal sensing platform as developed in this project will be very helpful to detect driver drowsiness and reduce crashes. Such sensors can be integrated readily into a wireless health monitoring system for drivers. In this project, we designed a non-contact ECG sensor based on high input impedance circuitry. With delicate sensor electronics design, the bioelectrical signals associated with electrocardiography (ECG), breathing, and eye blinking can be measured. This sensor package can detect the ECG signals with an effective distance of up to 30 cm (11.81 inch) away from the body. It also provides sensitive measurement of physiological signals such as heart rate, breathing, eye blinking etc.