CapSeat: capacitive proximity sensing for automotive activity recognition

Andreas Braun, Sebastian Frank, Martin Majewski, Xiaofeng Wang
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引用次数: 27

Abstract

Inattentiveness is one of the major causes of traffic accidents. Advanced car safety systems try to mitigate this by detecting potential signs of distraction or tiredness, and providing alerts to the driver. In this paper we present CapSeat - a car seat equipped with integrated capacitive proximity sensors that are used to measure a wide range of physiological parameters about the driver. This can support safety systems by detecting inattentiveness and increase passive safety by facilitating suitable seat adjustments and posture detection. We present a sensor electrode layout suitable for detecting the necessary parameters and processing methods that acquire multiple physiological parameters from sensor data, using a variety of different algorithms. A prototype of the system is presented that was evaluated for all detectable parameters in a proof-of-concept study. We achieved a classification precision between 95% and 100%.
CapSeat:用于汽车活动识别的电容式接近传感
注意力不集中是造成交通事故的主要原因之一。先进的汽车安全系统试图通过检测潜在的分心或疲劳迹象,并向驾驶员提供警报来缓解这种情况。在本文中,我们提出了CapSeat -一种配备集成电容接近传感器的汽车座椅,用于测量驾驶员的各种生理参数。这可以通过检测注意力不集中来支持安全系统,并通过促进适当的座椅调整和姿势检测来增加被动安全性。我们提出了一种适合检测必要参数的传感器电极布局和处理方法,使用各种不同的算法从传感器数据中获取多个生理参数。提出了该系统的原型,在概念验证研究中对所有可检测参数进行了评估。我们实现了95%到100%之间的分类精度。
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