Stress Recognization in Physiological Signals from Drivers by Time & Frequency Domain

The work deals with the fatigue analysis of automobile drivers by acquiring their physical signals during real world driving task to determine the driver’s relative stress level. The ECG signals were evaluated using two methods one using time domain analysis and second method using frequency domain analysis. In time domain analysis Pan Tomkins method is used for the detection of QRS complex and then determines the width of QRS complex and determines the heart rate of the driver. The second method frequency domain analysis determines the correlation of QRS Complex with the marker signal and with the help of correlation coefficients we can determine the stress. Marker signal was given by the evaluators by observing the drivers at various levels. . These findings indicate that physiological signals will provide a metric of driver stress in future cars capable of physiological monitoring.