Evaluation of Mental and Physical Workload while Driving using Wavelet Transform of Heart Rate Time Series

Abstract

In this paper, parameters of heart rate variability using wavelet transform, are employed to analyze mental and physical workload during long-distance driving. In experiment, subjects have driven 400km distance by automobile or motorcycle. The heart rate time series was recorded using Holter ECG. The power spectral density function of the heart rate time series was calculated at six-second interval. In this results, the power of the low-frequency component and the peak frequency of the high-frequency component were considered to evaluate mental and physical workload during long-distance driving of automobile and motorcycle.