Experimental Validation of a Driver Monitoring System

IF 2.1 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Machines Pub Date : 2023-11-29 DOI:10.3390/machines11121060
M. Garrosa, M. Ceccarelli, Vicente Díaz, Matteo Russo
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Abstract

This paper presents an analysis of the risk of neck injury in vehicle occupants as a consequence of an impact. A review of the formulation of indexes that are used in the assessment and investigation of neck injury risk is discussed with the aim of providing a new, more appropriate index using suitable sensorized equipment. An experimental analysis is proposed with a new driver monitoring device using low-cost sensors. The system consists of wearable units for the head, neck, and torso where inertial measurement sensors (IMU) are installed to record data concerning the occupant’s head, neck, and torso accelerations while the vehicle moves. Two laser infrared distance sensors are also installed on the vehicle’s steering wheel to record the position data of the head and neck, as well as an additional IMU for vehicle acceleration values. To validate both the device and the new index, experiments are designed in which different sensorized volunteers reproduce an emergency braking maneuver with an instrumented vehicle at speeds of 10, 20, and 30 km/h before the beginning of any braking action. The neck is particularly sensitive to sudden changes in acceleration, so a sudden braking maneuver is enough to constitute a potential risk of cervical spine injury. During the experiments, large accelerations and displacements were recorded as the test speed increased. The largest accelerations were obtained in the experimental test at a speed of 30 km/h with values of 19.17, 9.57, 9.28, and 5.09 m/s2 in the head, torso, neck, and vehicle, respectively. In the same experiment, the largest displacement of the head was 0.33 m and that of the neck was 0.27 m. Experimental results have verified that the designed device can be effectively used to characterize the biomechanical response of the neck in car impacts. The new index is also able to quantify a neck injury risk by taking into account the dynamics of a vehicle and the kinematics of the occupant’s head, neck, and torso. The numerical value of the new index is inversely proportional to the acceleration experienced by the vehicle occupant, so that small values indicate risky conditions.
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驾驶员监测系统的实验验证
本文分析了撞击对车内人员颈部造成伤害的风险。本文讨论了颈部损伤风险评估和调查中使用的指数制定方法,目的是利用合适的传感设备提供一种新的、更合适的指数。通过使用低成本传感器的新型驾驶员监测设备,提出了实验分析建议。该系统由头部、颈部和躯干的可穿戴装置组成,其中安装了惯性测量传感器(IMU),用于记录车辆行驶时乘员头部、颈部和躯干的加速度数据。此外,还在车辆方向盘上安装了两个激光红外距离传感器,用于记录头部和颈部的位置数据,以及另外一个用于记录车辆加速度值的惯性测量传感器。为了验证该装置和新指数,我们设计了一些实验,让不同的感知志愿者在任何制动动作开始之前,以 10、20 和 30 km/h 的速度驾驶装有仪器的车辆进行紧急制动操作。颈部对突然的加速度变化特别敏感,因此一个突然的制动动作就足以构成颈椎受伤的潜在风险。在实验过程中,随着测试速度的增加,记录到了较大的加速度和位移。在速度为 30 公里/小时的实验测试中,头部、躯干、颈部和车辆获得的最大加速度值分别为 19.17、9.57、9.28 和 5.09 m/s2。同一实验中,头部的最大位移为 0.33 米,颈部的最大位移为 0.27 米。实验结果验证了所设计的装置可有效用于表征颈部在汽车撞击中的生物力学响应。新指数还能通过考虑车辆动态以及乘员头部、颈部和躯干的运动学特性来量化颈部受伤风险。新指数的数值与车内人员所经历的加速度成反比,因此数值越小越危险。
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来源期刊
Machines
Machines Multiple-
CiteScore
3.00
自引率
26.90%
发文量
1012
审稿时长
11 weeks
期刊介绍: Machines (ISSN 2075-1702) is an international, peer-reviewed journal on machinery and engineering. It publishes research articles, reviews, short communications and letters. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. Full experimental and/or methodical details must be provided. There are, in addition, unique features of this journal: *manuscripts regarding research proposals and research ideas will be particularly welcomed *electronic files or software regarding the full details of the calculation and experimental procedure - if unable to be published in a normal way - can be deposited as supplementary material Subject Areas: applications of automation, systems and control engineering, electronic engineering, mechanical engineering, computer engineering, mechatronics, robotics, industrial design, human-machine-interfaces, mechanical systems, machines and related components, machine vision, history of technology and industrial revolution, turbo machinery, machine diagnostics and prognostics (condition monitoring), machine design.
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