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使用 IR-UWB 雷达进行生命体征监测和移动电话使用检测,旨在预防汽车碰撞。

Vital Sign Monitoring and Mobile Phone Usage Detection Using IR-UWB Radar for Intended Use in Car Crash Prevention.

机构信息

Department of Electronics and Computer Engineering, Hanyang University, 222 Wangsimini-ro, Seongdong-gu, 133-791 Seoul, Korea.

出版信息

Sensors (Basel). 2017 May 30;17(6):1240. doi: 10.3390/s17061240.

Abstract

In order to avoid car crashes, active safety systems are becoming more and more important. Many crashes are caused due to driver drowsiness or mobile phone usage. Detecting the drowsiness of the driver is very important for the safety of a car. Monitoring of vital signs such as respiration rate and heart rate is important to determine the occurrence of driver drowsiness. In this paper, robust vital signs monitoring through impulse radio ultra-wideband (IR-UWB) radar is discussed. We propose a new algorithm that can estimate the vital signs even if there is motion caused by the driving activities. We analyzed the whole fast time vital detection region and found the signals at those fast time locations that have useful information related to the vital signals. We segmented those signals into sub-signals and then constructed the desired vital signal using the correlation method. In this way, the vital signs of the driver can be monitored noninvasively, which can be used by researchers to detect the drowsiness of the driver which is related to the vital signs i.e., respiration and heart rate. In addition, texting on a mobile phone during driving may cause visual, manual or cognitive distraction of the driver. In order to reduce accidents caused by a distracted driver, we proposed an algorithm that can detect perfectly a driver's mobile phone usage even if there are various motions of the driver in the car or changes in background objects. These novel techniques, which monitor vital signs associated with drowsiness and detect phone usage before a driver makes a mistake, may be very helpful in developing techniques for preventing a car crash.

摘要

为了避免车祸,主动安全系统变得越来越重要。许多事故是由于驾驶员困倦或使用手机造成的。检测驾驶员的困倦状态对于汽车的安全非常重要。监测呼吸率和心率等生命体征对于确定驾驶员是否困倦非常重要。在本文中,通过脉冲无线电超宽带 (IR-UWB) 雷达讨论了稳健的生命体征监测。我们提出了一种新的算法,即使由于驾驶活动引起运动,也可以估计生命体征。我们分析了整个快速时间生命检测区域,并找到了那些与生命信号相关的有用信息的快速时间位置的信号。我们将这些信号分段为子信号,然后使用相关方法构建所需的生命信号。通过这种方式,可以非侵入式地监测驾驶员的生命体征,研究人员可以使用这些生命体征来检测与呼吸和心率等生命体征相关的驾驶员困倦。此外,在驾驶时使用手机发短信可能会分散驾驶员的视觉、手动或认知注意力。为了减少驾驶员分心造成的事故,我们提出了一种算法,即使驾驶员在车内有各种运动或背景物体发生变化,也可以完美地检测到驾驶员使用手机。这些监测与困倦相关的生命体征并在驾驶员犯错之前检测手机使用情况的新技术,对于开发防止车祸的技术可能非常有帮助。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9978/5492499/9446227d0ddf/sensors-17-01240-g001.jpg

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