权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

A study of active safety driving for vehicle via human behavior, measuring the physiology and mentality.

通过人类行为、测量生理和心理来研究车辆主动安全驾驶。

基本信息

批准号：
08650516
负责人：
WATANABE Kajiro
金额：
$ 1.28万
依托单位：
Hosei University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
1996
资助国家：
日本
起止时间：
1996 至 1997
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-08650516/
关键词：
ambulatory monitoring Stress measurement driving skill curvature measurement portrait of human shape mentality of driver Advanced Safety driving Curveture Skill Fatigue Optical Fiber Gyro Speed Sensor State estimation Power spect

项目摘要

In this research, we investigated following 4 tasks for the safety driving. (1) The development of signal processing method for ambulatory monitoring sensor (2) Stress measurement (3) The relation between the road curvature and human driving skill. (4) The configuration of the indicator which expresses the mentality of the driver by use of the expression of the shape of face(1) We developed the heartbeat rate measurement system for driver. A capacitor microphone was used as the sensor, and it detects heartbeat from driver seat. Because of the high sensitivity of sensor, it can detect not only the heartbeat but also the other noise. In order to measure the heartbeat signal ; we propose new signal processing method. The heartbeat rate change of the person could be detected from the cushion under non-oscillated environment.(2) This research describes how to measure stress. We assume that stress is caused by a gap in correlation between respiration and heart beat, suggest new method of measurement of stress on the basis of above assumption and known results that and respiration is correlative with heartbeat by the medium of autonomic nerve.(3) This research describes the extraction and the evaluation method of the driving skill. We employ the driving curvature, as one of criteria to evaluate the driving skill. We present a new system to estimate the curvature of driving loci and present a new algorithm to extract the curvature of a road itself that due to unskillful driving.(4) In order to inform the driving condition to driver, it is useful to indicate the human shape instead of usual numeric number. Because it is more intuitive rather than abstract symbols. In order to determine the relationship between the vehicle condition and human shape indicator, we apply the factor analysis to get that relationship.

在本研究中，我们调查了以下四项安全驾驶任务。(1)动态监测传感器信号处理方法的发展(2)应力测量(3)道路曲率与人驾驶技能的关系。(4)利用人脸表情表达驾驶员心理状态的指示器的配置(1)研制了驾驶员心率测量系统。传感器使用电容式麦克风，检测驾驶员座椅上的心跳。由于传感器的高灵敏度，它不仅可以检测心跳，还可以检测其他噪声。为了测量心跳信号，我们提出了一种新的信号处理方法。在无振动环境下，从坐垫上可以检测到人体心率的变化。(2)本研究描述了如何测量应激。我们假设压力是由呼吸和心跳之间的相关性差距引起的，并在此基础上提出了以自主神经为中介的呼吸与心跳相关的压力测量方法。(3)描述了驾驶技能的提取和评价方法。我们采用驾驶曲率作为评价驾驶技能的标准之一。我们提出了一种新的驾驶轨迹曲率估计系统，并提出了一种新的算法来提取由于不熟练驾驶而导致的道路本身的曲率。(4)为了将驾驶状况告知驾驶员，用人体形状来代替通常的数字。因为它更直观，而不是抽象的符号。为了确定车辆状况与人体形状指标之间的关系，我们应用因子分析得到了这种关系。