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A Simple Fatigue Condition Detection Method by using Heart Rate Variability Analysis

机译:基于心率变异性分析的疲劳状态简单检测方法

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摘要

The traffic accident statistics show that fatigue (drowsiness) and drunk driving are the major causes of traffic accidents. Therefore, it is important to detect and prevent driving in fatigue condition. The conventional fatigue detection technologies use methods that detect a driver's drowsiness from the direction of the face, the eye closing speed, etc., using cameras and various senses. Such technologies, however, are not only expensive but also have positional detection limitations as cameras and sensors are used, thereby restricting the driver's behavior. In this study, a simple method of detecting fatigue condition based on HRV (Heart Rate Variability) data is presented. The proposed method can greatly reduce the cost of drowsiness prevention system for safe driving.
机译:交通事故统计数据表明,疲劳(困倦)和酒后驾车是交通事故的主要原因。因此,重要的是检测并防止疲劳状态下的行驶。传统的疲劳检测技术使用通过照相机和各种感官从面部的方向,闭眼的速度等检测驾驶员的睡意的方法。然而,这种技术不仅昂贵,而且由于使用照相机和传感器而具有位置检测限制,从而限制了驾驶员的行为。在这项研究中,提出了一种基于HRV(心率变异性)数据的检测疲劳状况的简单方法。所提出的方法可以大大降低用于安全驾驶的防睡意系统的成本。

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