Cepstral Analysis of the Signals Obtained from Car Seat for the Prediction of Sleep in Sleep-Wake State

摘要

This paper shows that the method for the prediction of sleep in sleep-wake state using the signals obtained from the sensor attached on the car seat. The spectral envelopes smoothed on selected frequency region are defined using cepstral analysis and the feature parameters are calculated using this method. Experimental results show the possibility of the prediction of sleep in sleep-wake state under driving a car.