Microstructure-guided spatial sensing for low-power IoT

Nakul Garg, Yang Bai, Nirupam Roy
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引用次数: 5

Abstract

This demonstration presents a working prototype of Owlet, an alternative design for spatial sensing of acoustic signals. To overcome the fundamental limitations in form-factor, power consumption, and hardware requirements with array-based techniques, Owlet explores wave's interaction with acoustic structures for sensing. By combining passive acoustic microstructures with microphones, we envision achieving the same functionalities as microphone and speaker arrays with less power consumption and in a smaller form factor. Our design uses a 3D-printed metamaterial structure over a microphone to introduce a carefully designed spatial signature to the recorded signal. Owlet prototype shows 3.6° median error in Direction-of-Arrival (DoA) estimation and 10 cm median error in source localization while using a 1.5cm × 1.3cm acoustic structure for sensing.
面向低功耗物联网的微结构引导空间传感
本演示展示了Owlet的工作原型,Owlet是声学信号空间传感的另一种设计。为了克服阵列技术在外形因素、功耗和硬件要求方面的基本限制,Owlet探索了波与声学结构的相互作用。通过将被动声学微结构与麦克风相结合,我们设想以更低的功耗和更小的外形实现与麦克风和扬声器阵列相同的功能。我们的设计在麦克风上使用3d打印的超材料结构,为录制的信号引入精心设计的空间特征。在使用1.5cm × 1.3cm声学结构进行传感时,Owlet原型在到达方向(DoA)估计中值误差为3.6°,在源定位中值误差为10 cm。
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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