DETECTION OF DRIVER'S SURPRISED STATE BASED ON BLOOD PRESSURE

Q4 Computer Science
T. Arakawa, Masayasu Tanaka, Fumiaki Obayashi
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引用次数: 7

Abstract

The number of deaths from traffic accidents in Japan has been reduced for this 13 consecutive years. One of the reasons is that the collision prevention safety devices for vehicle are developed and equipped many vehicles and it is needed to detect the state of drivers in order to reduce the number of traffic accident more. We are trying to develop this system based on blood pressure and show the efficacy of estimation driver’s state based on blood pressure. As a feasibility study, we attempted to estimate driver’s state that transits from calm to surprising, which is typical driver’s state, based on blood pressure using driving simulator. As a result of experiment, the systolic blood pressure after bicycle rushed out is higher than that before bicycle rushed out and these two data are statistically significant. This means that the systolic blood pressure get to be high when bicycle rushed out thus the feeling of “traffic near-miss” (surprising) can be detected from blood pressure.
基于血压的驾驶员惊讶状态检测
日本的交通事故死亡人数已连续13年下降。其中一个原因是车辆防撞安全装置的研制和装备较多,为了更多地减少交通事故的发生,需要对驾驶员的状态进行检测。我们正在尝试开发这个基于血压的系统,并展示基于血压估计驾驶员状态的有效性。作为可行性研究,我们尝试使用驾驶模拟器,基于血压来估计驾驶员从平静到惊讶过渡的典型驾驶员状态。实验结果表明,自行车冲出后的收缩压高于自行车冲出前的收缩压,这两个数据有统计学意义。这意味着当自行车冲出时,收缩压会变得很高,因此可以从血压中检测到“交通意外”(意外)的感觉。
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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来源期刊
ICIC Express Letters, Part B: Applications
ICIC Express Letters, Part B: Applications Computer Science-Computer Science (all)
CiteScore
1.00
自引率
0.00%
发文量
9
期刊介绍: The ICIC Express Letters, Part B: Applications (abbreviated as ICIC-ELB) is a peer-reviewed English language journal of research and surveys on Innovative Computing, Information and Control, and is published by ICIC International monthly. The primary aim of the ICIC-ELB is to publish timely quality short papers (generally no more than 8 printing pages) with emphasis on applications of established or new developed novel techniques, approaches and methodologies of computing systems, intelligent systems, information processing, and automation and control systems.
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