長距離運転時における生体負担度の心拍変動時系列による評価

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This paper evaluates and discusses using physiological indexes mental and physical workload while driving approximately 400 km in both four-wheeled and two-wheeled vehicles on an expressway. The subjects drove sections Al to A6 on the expressway; each section required about 60 minutes of driving, and about 15 minutes' rest was taken after each section. The rest after section A3 was about 90 minutes, during which drivers had lunch. We analyzed the data for sections Al and A5 for both four-wheeled and two-wheeled vehicles. Heart rate variability time series have been widely analyzed by frequency as well as by time. In order to conduct frequency analysis of heart rate variability time series during daily activity over a long period of time, it is necessary to detect frequency data from time series over relatively short periods of time and to figure out the sequential changes according to time. In this paper, parameters of time, frequency, and frequency-time using Wavelet Transform, are employed to analyze mental and physical workload during long-distance driving, and the results are compared, examined, and evaluated.
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