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Sensorless sensing using wireless signals has been rapidly conceptualized and developed recently. Among numerous applications of WiFi-based sensing, human presence detection acts as a primary and fundamental function to boost applications in practice. Many complicated approaches have been proposed to achieve high detection accuracy, but they frequently omit various practical constraints such as real-time capability, computation efficiency, sampling rates, deployment efforts, etc. A practical detection system that works in real-world applications is lacking. In this paper, we design and implement WiSH, a real-time system for contactless human detection that is applicable for whole-day usage. WiSH employs lightweight yet effective methods and thus enables detection under practical conditions even on resource-limited devices with low signal sampling rates. We deploy WiSH on commodity desktops and customized tiny nodes in different everyday scenarios. The experimental results demonstrate the superior performance of WiSH, which has a detection accuracy of >98% using a sampling rate of 20 Hz with an average detection delay of merely 1.5 s.Thus, we believe WiSH is a promising system for real-world deployment.


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WiSH: WiFi-Based Real-Time Human Detection

Show Author's information Tianmeng HangYue ZhengKun QianChenshu WuZheng Yang( )Xiancun ZhouYunhao LiuGuilin Chen
School of Software and BNRist, Tsinghua University, Beijing 100084, China.
Department of Computer Science and Engineering, Michigan State Unversity, East Lansing, MI 48824, USA.
Department of Electrical & Computer Engineering, Univeristy of Maryland, College Park, MD 20742, USA.
School of Information Engineering, West Anhui University, Lu’an 237012, China.
School of Computer and Information Engineering, Chuzhou University, Chuzhou 239000, China.

† Tianmeng Hang and Yue Zheng contribute equally to this paper.

Abstract

Sensorless sensing using wireless signals has been rapidly conceptualized and developed recently. Among numerous applications of WiFi-based sensing, human presence detection acts as a primary and fundamental function to boost applications in practice. Many complicated approaches have been proposed to achieve high detection accuracy, but they frequently omit various practical constraints such as real-time capability, computation efficiency, sampling rates, deployment efforts, etc. A practical detection system that works in real-world applications is lacking. In this paper, we design and implement WiSH, a real-time system for contactless human detection that is applicable for whole-day usage. WiSH employs lightweight yet effective methods and thus enables detection under practical conditions even on resource-limited devices with low signal sampling rates. We deploy WiSH on commodity desktops and customized tiny nodes in different everyday scenarios. The experimental results demonstrate the superior performance of WiSH, which has a detection accuracy of >98% using a sampling rate of 20 Hz with an average detection delay of merely 1.5 s.Thus, we believe WiSH is a promising system for real-world deployment.

Keywords: channel state information, human detection, real-time system, wireless sensing, off-the-shelf WiFi

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Publication history

Received: 12 January 2018
Revised: 04 March 2018
Accepted: 10 March 2018
Published: 29 April 2019
Issue date: October 2019

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© The author(s) 2019

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Acknowledgements

This work was supported in part by the National Key Research Plan (No. 2016YFC0700100), the National Natural Science Foundation of China (Nos. 61832010, 61332004, and 61572366).

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