Wi-Fi CSI-Based Behavior Recognition: From Signals and Actions to Activities

Wi-Fi CSI-Based Behavior Recognition: From Signals and Actions to Activities
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基于 Wi-Fi CSI 的行为识别:从信号和动作到活动

DOI:
10.1109/mcom.2018.1700144
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发表时间:
2017-12
影响因子:
11.2
通讯作者:
Zhou Xingshe
Zhou Xingshe
中科院分区:
计算机科学1区
文献类型:
--
作者:
Wang Zhu;Guo Bin;Yu Zhiwen;Zhou Xingshe

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人类行为识别已被认为是一项核心技术,可以促进各种应用。然而,对人类行为的准确检测和识别仍然是一个巨大的挑战,吸引了大量的研究工作。无线技术的最新进展(例如,Wi-Fi信道状态信息,即,CSI)实现了一种新的行为识别范例,其能够以无设备和非侵入的方式识别行为。在本文中,我们首先概述了基于Wi-Fi CSI的行为识别的基础知识。之后,我们将相关的应用程序分为三个粒度,信号,动作和活动,然后提供一些见解,设计新的方案。最后,我们讨论了挑战、这些挑战的可能解决方案以及基于CSI的行为识别中涉及的一些悬而未决的问题。
Human behavior recognition has been considered as a core technology that can facilitate a variety of applications. However, accurate detection and recognition of human behavior is still a big challenge that attracts a lot of research effort. Recent advances in wireless technology (e.g., Wi-Fi channel state information, i.e., CSI) enable a new behavior recognition paradigm, which is able to recognize behaviors in a device-free and non-intrusive manner. In this article, we first provide an overview of the basics of Wi-Fi CSI-based behavior recognition. Afterward, we classify related applications into three granularities, signals, actions, and activities, and then provide some insights for designing new schemes. Finally, we conclude by discussing the challenges, possible solutions to these challenges, and some open issues involved in CSI-based behavior recognition.
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