Automobile driver's stress index provision system that utilizes electrocardiogram

I. Jeong, Dong hee Lee, Shin Woo Park, J. I. Ko, H. Yoon
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引用次数: 53

Abstract

This research intends to develop devices that make drivers rest and to verify in the early stage by effectively detecting the electrocardiogram (ECG) signal, one of the signals of living body, in the vehicle during the operation and providing ANS information and degree of stress. Recording the regular activity of heart clinically, ECG reflects the health state of subject as well as checks the degree of operation of autonomic nervous system through analysis of Heart Rate Variability (HRV). As this alteration of autonomic nervous system predicts the stress level of drivers during operation and provides the possibility of warning by continuous detection, it may lead to the recognition and safe driving of driver by detecting the stress during driving altered by diverse factors such as changing mood, bio rhythm, condition, fatigue, boredom or disease and preventing the driver from reaching the inappropriate state for driving. Thus, the reliability and utilization level of system was confirmed to be satisfactory by providing new ECG measuring method familiar to drivers and comparing it with the result of judging drivers' emotion through this research.
基于心电图的汽车驾驶员压力指标提供系统
本研究旨在通过在车辆运行过程中有效检测车辆内的心电图(electrocardiogram, ECG)信号,并提供ANS信息和应激程度,开发能够让驾驶员休息并在早期进行验证的装置。心电图在临床上记录心脏的规律活动,反映受试者的健康状态,并通过心率变异性(heart Rate Variability, HRV)的分析来检查自主神经系统的运作程度。由于自主神经系统的这种变化可以预测驾驶员在操作过程中的压力水平,并通过持续检测提供预警的可能性,通过检测驾驶员在驾驶过程中因情绪、生物节律、状态、疲劳、无聊或疾病等多种因素变化而产生的压力,从而实现驾驶员的识别和安全驾驶,防止驾驶员达到不适当的驾驶状态。因此,通过本研究提供驾驶员熟悉的新的心电测量方法,并将其与驾驶员情绪判断结果进行比较,证实了系统的可靠性和利用水平令人满意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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