SOLI:一种新型人机界面的微型设备

S. Trotta, D. Weber, Reinhard Jungmaier, Ashutosh Baheti, J. Lien, Dennis Noppeney, M. Tabesh, Christoph Rumpler, Michael Aichner, Siegfried Albel, Jagjit S. Bal, I. Poupyrev
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引用次数: 8

摘要

随着物联网(IoT)的引入,人们越来越关注人机交互。如今,传感器使系统和机器人能够看到、听到、感觉到并直观地“理解”周围的环境。60GHz雷达[1]为人体运动传感提供了一个非常有吸引力的解决方案,支持特定用例,如:智能存在、手势和生命体征监测。这些可以增强可穿戴设备、移动设备、电视、智能家居、汽车信息娱乐系统和AR-VR应用的用户体验。60GHz频段(从57 ghz到64GHz)分配的高带宽可实现非常高的距离分辨率传感(约2cm),当与微多普勒和时域分析[2]相补充时,它为识别毫米精度的复杂手部运动提供了强大的工具。本文提出的解决方案是将一个微型雷达系统集成到智能手机Google Pixel 4中。从雷达传感器到信号变换和分类的简化信号流流程如图2.3.1所示[3]。雷达传感器的设计主要考虑了所有集成边界,包括基本功耗和封装尺寸(包括天线)。具体来说,功耗要求转化为对传感器每帧可以运行的最大啁啾数的非常严格的要求,这会影响过程增益,从而影响最大检测范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SOLI: A Tiny Device for a New Human Machine Interface
With the introduction of the Internet of Things (IoT), there is an increasing focus on human-to-machine interaction. Nowadays, sensors make system and robots to see, hear, feel, and intuitively “understand” their surroundings. 60GHz radar [1] provides a very attractive solution for the sensing of human motion, enabling specific use cases such as: smart presence, hand gesture, and vital signs monitoring. Those can enhance the user experience in wearables, mobile devices, TVs, smart homes, automotive infotainment systems and AR-VR applications. The high bandwidth allocated in the 60GHz band (from 57 to 64GHz) enables very high range resolution sensing ($\approx$ 2cm), which, when complemented with micro-Doppler and time domain analysis [2], offers a powerful tool for discriminating complex hand movements with millimeter accuracy. The solution presented in this paper represents the a tiny radar system integrated into a smartphone, the Google Pixel 4. The simplified signal flow pipeline, from the radar sensor up to the signal transformation and classification, is presented in Fig. 2.3.1 [3]. The radar sensor is designed primarily taking into account all the integration boundaries, which includes in primis power consumption and package size (including antenna). Specifically, the power consumption requirement translates to a very stringent requirement for the maximum number of chirps the sensor could run per frame, impacting the process gain, and so the maximum detection range.
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