天使-智能方向盘,驾驶员安全

Andrea Amidei, Pierangelo Maria Rapa, Giuseppe Tagliavini, R. Rabbeni, Paolo Pavan, Simone Benatti
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引用次数: 0

摘要

汽车行业越来越认识到人机交互在增强驾驶体验和提高驾驶员安全方面的重要性。人为因素,如嗜睡和注意力缺陷,在安全驾驶中起着主要作用。有几个研究和商业解决方案可以解决这些问题。然而,它们分析车辆行为,无法及时评估驾驶员的状态。解决这个问题的一种新方法是监测驾驶员的生理信号。在这种情况下,Photoplethysmography (PPG)是一种监测心脏活动的无创技术,可以提供有关驾驶员状态的信息。这项工作介绍了ANGELS,这是一种利用PPG信号以非侵入性方式监控驾驶员的嵌入式系统。ANGELS是一种低成本、低功耗的系统,可以集成到汽车的方向盘上。它可以实时获取和处理驾驶员的PPG信号,并在不需要加速度计数据的情况下实现心率监测,从而消除运动伪影。我们使用玛莎拉蒂驾驶模拟器进行了实验评估。ANGELS在心率检测上的平均绝对误差为1.19 BPM,延迟为10秒,功耗仅为130兆瓦。这些结果表明,这是一个可靠的和有前途的解决方案,以提高驾驶员的安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ANGELS - Smart Steering Wheel for Driver Safety
The automotive industry increasingly recognizes the importance of human-machine interaction in enhancing the driving experience and improving driver safety. Human factors, such as drowsiness and attention deficits, play a primary role in safe driving. There are several research and commercial solutions to address these issues. However, they analyze vehicle behavior and are unable to assess the driver’s state in a timely manner. A novel approach to this problem is to monitor the driver’s physiological signals. In this context, Photoplethysmography (PPG) is a noninvasive technique that monitors cardiac activity and can provide information regarding the driver’s state. This work introduces ANGELS, an embedded system that exploits PPG signals to monitor drivers in a non-invasive way. ANGELS is a low-cost and low-power system that can be integrated into the steering wheel of a car. It acquires and processes the driver’s PPG signals in real-time and enables heart rate monitoring without requiring accelerometer data to remove motion artifacts. We perform an experimental assessment using the Maserati driving simulator. ANGELS features a mean absolute error on heart rate detection of 1.19 BPM with a latency of 10 s and power consumption of only 130 mW. These results demonstrate that it is a reliable and promising solution for improving driver safety.
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