Embracing Distributed Acoustic Sensing in Car Cabin for Children Presence Detection

Yuqi Su, Fusang Zhang, Kai Niu, Tianben Wang, Beihong Jin, Zhi Wang, Yalan Jiang, Daqing Zhang, Lili Qiu, Jie Xiong
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Abstract

Contactless acoustic sensing has been actively exploited in the past few years to enable a large range of applications, ranging from fine-grained vital sign monitoring to coarse-grained human tracking. However, existing acoustic sensing systems mainly work on smartphone or smart speaker platforms. In this paper, we envision an exciting new acoustic sensing platform, i.e., car cabin which is inherently embedded with a large number of speakers and microphones. We propose the new concept of distributed acoustic sensing and develop novel designs leveraging the unique characteristics of rich multi-path in car cabin to enable fine-grained sensing even when the primary reflection is totally blocked. By using child presence detection as the application example, we show that child presence can be detected through body motions or even subtle breath (when the child is sleeping or in coma) at all locations in the cabin without any blind spots. We further show that the proposed system can robustly work in different car cabins, achieving an average detection accuracy of 97% and a false alarm rate always below 2% under different scenarios including those challenging ones such as rear-facing seat blockage. We believe the proposed distributed sensing modality in car cabin pushes acoustic sensing one big step towards real-life adoption.
在车厢内采用分布式声学传感技术检测儿童是否存在
在过去几年中,非接触式声学传感技术得到了积极开发,实现了从细粒度生命体征监测到粗粒度人体追踪等多种应用。然而,现有的声学传感系统主要工作在智能手机或智能扬声器平台上。在本文中,我们设想了一个令人兴奋的新声学传感平台,即本身就嵌入了大量扬声器和麦克风的汽车座舱。我们提出了分布式声学传感的新概念,并利用汽车舱内丰富的多路径的独特特性开发了新颖的设计,即使在主反射完全被阻挡的情况下也能实现细粒度传感。通过使用儿童存在检测作为应用实例,我们展示了可以通过车厢内所有位置的身体运动甚至细微呼吸(当儿童熟睡或昏迷时)来检测儿童的存在,而不会出现任何盲点。我们还进一步证明,所提出的系统可以在不同的车厢内稳定工作,在不同的场景下,包括那些具有挑战性的场景,如后排座椅堵塞,平均检测准确率达到 97%,误报率始终低于 2%。我们相信,所提出的汽车座舱分布式传感模式将声学传感向现实生活中的应用推进了一大步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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