Development of Drowsiness Prediction System for Vehicle by Non-Invasive ECG Measurement Using Capacity Coupled Electrode

Abstract

It has been established that most traffic accident are due to human error, such as inattentive driving and drowsiness. For the reason, we developed a method for predicting drowsiness in drivers based on changes in the heart rate. To measure the heart rate of driver non-invasively, we used capacity coupled electrodes and devised a method for predicting drowsiness based on changes in the heart rate. This paper describes the structure and principle of the system, and the result of user experiment. The experiment conducted by using a driving simulator verified that our system helps detect driver drowsiness before a critical situation could occur.