Wi-Sneeze-Sneeze Sensing using Wi-Fi Signals

Danny Kai Pin Tan; Rui Du; Yingxiang Sun; Tony Xiao Han; David Xun Yang; Wen Tong; Wenbo Ding; Yang Li; Yun Zhang

doi:10.1109/GCWkshps50303.2020.9367442

Wi-Sneeze-Sneeze Sensing using Wi-Fi Signals

Danny Kai Pin Tan
, Rui Du
, Yingxiang Sun
, Tony Xiao Han
, David Xun Yang
, Wen Tong
, Wenbo Ding
, Yang Li
, Yun Zhang

School of Electronics and Information Engineering

Huawei Technologies Co., Ltd.
Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

Sneezes play a key role in transferring respiratory diseases such as COVID-19 between infectious and susceptible individuals where the timely monitoring and alerting for sneezes can be important in preventing the spread of such diseases. This paper presents Wi-Sneeze, a Wi-Fi based passive radar for sneeze sensing using Wi-Fi signals, as a promising solution to detect the potentially harmful exhaled volume-based sneeze droplets. Using the size distributions of the droplets exhaled by sneezes, an accurate volume RCS for the sneeze droplets is calculated, leading to the computation of the SNR which enable the range prediction for detecting the sneeze droplets. Experimental trials are conducted for real human sneezes and using the associated signal processing schemes, the Doppler frequency of the sneeze droplets can be prominently detected and localized in range. In addition, advanced signal processing techniques are used to improve the performance of the sneeze droplets detections. These promising results clearly validated the concept and feasibility of Wi-Sneeze in a practical environment.

Original language	English
Title of host publication	2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728173078
DOIs	https://doi.org/10.1109/GCWkshps50303.2020.9367442
State	Published - Dec 2020
Event	2020 IEEE Globecom Workshops, GC Wkshps 2020 - Virtual, Taipei, Taiwan, Province of China Duration: 7 Dec 2020 → 11 Dec 2020

Publication series

Name	2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings

Conference

Conference	2020 IEEE Globecom Workshops, GC Wkshps 2020
Country/Territory	Taiwan, Province of China
City	Virtual, Taipei
Period	7/12/20 → 11/12/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Wi-Fi
passive radar
sneeze sensing
super-resolution processing

Access to Document

10.1109/GCWkshps50303.2020.9367442

Cite this

Tan, D. K. P., Du, R., Sun, Y., Han, T. X., Yang, D. X., Tong, W., Ding, W., Li, Y., & Zhang, Y. (2020). Wi-Sneeze-Sneeze Sensing using Wi-Fi Signals. In 2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings Article 367442 (2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCWkshps50303.2020.9367442

@inproceedings{88ce514907844958aed7f4e95d47bfa6,

title = "Wi-Sneeze-Sneeze Sensing using Wi-Fi Signals",

abstract = "Sneezes play a key role in transferring respiratory diseases such as COVID-19 between infectious and susceptible individuals where the timely monitoring and alerting for sneezes can be important in preventing the spread of such diseases. This paper presents Wi-Sneeze, a Wi-Fi based passive radar for sneeze sensing using Wi-Fi signals, as a promising solution to detect the potentially harmful exhaled volume-based sneeze droplets. Using the size distributions of the droplets exhaled by sneezes, an accurate volume RCS for the sneeze droplets is calculated, leading to the computation of the SNR which enable the range prediction for detecting the sneeze droplets. Experimental trials are conducted for real human sneezes and using the associated signal processing schemes, the Doppler frequency of the sneeze droplets can be prominently detected and localized in range. In addition, advanced signal processing techniques are used to improve the performance of the sneeze droplets detections. These promising results clearly validated the concept and feasibility of Wi-Sneeze in a practical environment.",

keywords = "Wi-Fi, passive radar, sneeze sensing, super-resolution processing",

author = "Tan, \{Danny Kai Pin\} and Rui Du and Yingxiang Sun and Han, \{Tony Xiao\} and Yang, \{David Xun\} and Wen Tong and Wenbo Ding and Yang Li and Yun Zhang",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE Globecom Workshops, GC Wkshps 2020 ; Conference date: 07-12-2020 Through 11-12-2020",

year = "2020",

month = dec,

doi = "10.1109/GCWkshps50303.2020.9367442",

language = "英语",

series = "2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings",

address = "美国",

}

Tan, DKP, Du, R, Sun, Y, Han, TX, Yang, DX, Tong, W, Ding, W, Li, Y & Zhang, Y 2020, Wi-Sneeze-Sneeze Sensing using Wi-Fi Signals. in 2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings., 367442, 2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2020 IEEE Globecom Workshops, GC Wkshps 2020, Virtual, Taipei, Taiwan, Province of China, 7/12/20. https://doi.org/10.1109/GCWkshps50303.2020.9367442

Wi-Sneeze-Sneeze Sensing using Wi-Fi Signals. / Tan, Danny Kai Pin; Du, Rui; Sun, Yingxiang et al.
2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 367442 (2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Wi-Sneeze-Sneeze Sensing using Wi-Fi Signals

AU - Tan, Danny Kai Pin

AU - Du, Rui

AU - Sun, Yingxiang

AU - Han, Tony Xiao

AU - Yang, David Xun

AU - Tong, Wen

AU - Ding, Wenbo

AU - Li, Yang

AU - Zhang, Yun

PY - 2020/12

Y1 - 2020/12

N2 - Sneezes play a key role in transferring respiratory diseases such as COVID-19 between infectious and susceptible individuals where the timely monitoring and alerting for sneezes can be important in preventing the spread of such diseases. This paper presents Wi-Sneeze, a Wi-Fi based passive radar for sneeze sensing using Wi-Fi signals, as a promising solution to detect the potentially harmful exhaled volume-based sneeze droplets. Using the size distributions of the droplets exhaled by sneezes, an accurate volume RCS for the sneeze droplets is calculated, leading to the computation of the SNR which enable the range prediction for detecting the sneeze droplets. Experimental trials are conducted for real human sneezes and using the associated signal processing schemes, the Doppler frequency of the sneeze droplets can be prominently detected and localized in range. In addition, advanced signal processing techniques are used to improve the performance of the sneeze droplets detections. These promising results clearly validated the concept and feasibility of Wi-Sneeze in a practical environment.

AB - Sneezes play a key role in transferring respiratory diseases such as COVID-19 between infectious and susceptible individuals where the timely monitoring and alerting for sneezes can be important in preventing the spread of such diseases. This paper presents Wi-Sneeze, a Wi-Fi based passive radar for sneeze sensing using Wi-Fi signals, as a promising solution to detect the potentially harmful exhaled volume-based sneeze droplets. Using the size distributions of the droplets exhaled by sneezes, an accurate volume RCS for the sneeze droplets is calculated, leading to the computation of the SNR which enable the range prediction for detecting the sneeze droplets. Experimental trials are conducted for real human sneezes and using the associated signal processing schemes, the Doppler frequency of the sneeze droplets can be prominently detected and localized in range. In addition, advanced signal processing techniques are used to improve the performance of the sneeze droplets detections. These promising results clearly validated the concept and feasibility of Wi-Sneeze in a practical environment.

KW - Wi-Fi

KW - passive radar

KW - sneeze sensing

KW - super-resolution processing

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DO - 10.1109/GCWkshps50303.2020.9367442

M3 - 会议稿件

AN - SCOPUS:85102950351

T3 - 2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings

BT - 2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE Globecom Workshops, GC Wkshps 2020

Y2 - 7 December 2020 through 11 December 2020

ER -

Wi-Sneeze-Sneeze Sensing using Wi-Fi Signals

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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