检测印尼汽车驾驶员睡意的心率和血压多参数测量工具

Ario Yudo Husodo, I. Hermawan, W. Jatmiko, B. Wiweko, Alfred Boediman, Beno K. Pradekso
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引用次数: 3

摘要

根据印尼交通警察中心的数据,2017年,印尼在东南亚交通事故发生率最高的国家中排名第四。不幸的是,许多事故都是由汽车司机的睡意造成的。这说明人的疲劳对交通安全影响很大。为了减少印度尼西亚的道路事故数量,本研究提出了一种替代测量工具和参数来检测汽车驾驶员的嗜睡症状。这项研究分析了一种可穿戴腕带的血压和心率监测器的使用情况,这种监测器附着在汽车司机身上,用于检测是否困倦。所提出的测量工具监控所有检索到的数据来测量驾驶员的疲劳状态。本研究的主要目的是分析所提出的腕带收集血压和心率模式以指示困倦症状的有效性。这项研究的结论是,汽车司机的困倦可以通过使用这款腕带监测他们的心率和血压来检测。今后,该研究可以作为防止因驾驶员困倦而导致的交通事故的缓解系统加以推广。它可以扩展为智能汽车的集成物联网系统,当系统显示驾驶员处于疲劳状态时,可以提醒驾驶员休息。当这个综合系统发展得很好时,可以有效地预防驾驶员嗜睡造成的交通事故,从而将印度尼西亚的交通事故受害者人数降到最低。
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Multi-Parameter Measurement Tool of Heart Rate and Blood Pressure to Detect Indonesian Car Drivers Drowsiness
According to the Indonesian Traffic Police Center, in 2017 Indonesia ranks the top 4th countries in South East Asia which has a high number of road accidents. Many of the accidents, unfortunately, are caused by the drowsiness of car drivers. This indicates that human fatigue significantly affects the safety of traffic. To decrease the number of road accidents in Indonesia, this research proposes an alternative measurement tool and parameter to detect the drowsiness symptoms of car drivers. This research analyzes the usage of a wearable wristband blood pressure and heart rate monitor, attached to a car driver to detect drowsiness. The proposed measurement tool monitors all retrieved data to measure the fatigue condition of the driver. The main purpose of this research is to analyze the effectiveness of proposed wristband to collect the blood pressure and heart rate pattern for indicating drowsiness symptoms. This research concludes that car drivers' drowsiness can be detected by monitoring their heart rate and blood pressure using the proposed wristband. This research can be expanded in the future as a mitigation system to prevent car accidents caused by drivers' drowsiness. It can be expanded as an integrated Internet of Things system in a smart car that can alert a driver to take a rest when the system indicates that the driver is in a fatigue condition. When this integrated system has been developed well, the car accidents caused by driver drowsiness can be effectively prevented so that the number of car accident victims in Indonesia will be minimized.
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