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Developing a Body Sensor Network to Detect Emotions During Driving

机译:开发身体传感器网络以检测驾驶过程中的情绪

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摘要

Emerging applications using body sensor networks (BSNs) constitute a new trend in car safety. However, the integration of heterogeneous body sensors with vehicular ad hoc networks (VANETs) poses a challenge, particularly on the detection of human behavioral states that may impair driving. This paper proposes a detector of human emotions, of which tiredness and stress (tension) could be related to traffic accidents. We present an exploratory study demonstrating the feasibility of detecting one emotional state in real time using a BSN. Based on these results, we propose middleware architecture that is able to detect emotions, which can be communicated via the onboard unit of a vehicle with city emergency services, VANETs, and roadside units, aimed at improving the driver's experience and at guaranteeing better security measures for the car driver.
机译:使用人体传感器网络(BSN)的新兴应用构成了汽车安全的新趋势。但是,将异类人体传感器与车辆自组织网络(VANET)集成在一起带来了挑战,特别是在检测可能损害驾驶的人类行为状态时。本文提出了一种人类情绪的检测器,其疲劳和压力(紧张)可能与交通事故有关。我们提出了一项探索性研究,证明了使用BSN实时检测一种情绪状态的可行性。基于这些结果,我们提出了一种能够检测情绪的中间件体系结构,可以通过车辆的车载单元与城市应急服务,VANET和路边单元进行通信,以改善驾驶员的体验并保证更好的安全措施。给汽车司机。

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