Human respiration detection with commodity WiFi devices: do user location and body orientation matter?

Hao Wang; Daqing Zhang; Junyi Ma; Yasha Wang; Yuxiang Wang; Dan Wu; Tao Gu; Bing Xie

doi:10.1145/2971648.2971744

Human respiration detection with commodity WiFi devices: do user location and body orientation matter?

Hao Wang, Daqing Zhang, Junyi Ma, Yasha Wang, Yuxiang Wang, Dan Wu, Tao Gu, Bing Xie

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

344 Citations (Scopus)

Abstract

Recent research has demonstrated the feasibility of detecting human respiration rate non-intrusively leveraging commodity WiFi devices. However, is it always possible to sense human respiration no matter where the subject stays and faces? What affects human respiration sensing and what's the theory behind? In this paper, we first introduce the Fresnel model in free space, then verify the Fresnel model for WiFi radio propagation in indoor environment. Leveraging the Fresnel model and WiFi radio propagation properties derived, we investigate the impact of human respiration on the receiving RF signals and develop the theory to relate one's breathing depth, location and orientation to the detectability of respiration. With the developed theory, not only when and why human respiration is detectable using WiFi devices become clear, it also sheds lights on understanding the physical limit and foundation of WiFi-based sensing systems. Intensive evaluations validate the developed theory and case studies demonstrate how to apply the theory to the respiration monitoring system design.

Original language	English
Title of host publication	Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016)
Place of Publication	New York, NY
Publisher	Association for Computing Machinery (ACM)
Pages	25-36
Number of pages	12
ISBN (Print)	9781450344616
DOIs	https://doi.org/10.1145/2971648.2971744
Publication status	Published - 2016
Externally published	Yes
Event	2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016 - Heidelberg, Germany Duration: 12 Sept 2016 → 16 Sept 2016

Publication series

Name	UbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Other

Other	2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016
Country/Territory	Germany
City	Heidelberg
Period	12/09/16 → 16/09/16

Keywords

Channel state information (CSI)
The fresnel zone
WiFi

Access to Document

10.1145/2971648.2971744

Cite this

Wang, H., Zhang, D., Ma, J., Wang, Y., Wang, Y., Wu, D., Gu, T., & Xie, B. (2016). Human respiration detection with commodity WiFi devices: do user location and body orientation matter? In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016) (pp. 25-36). (UbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing). Association for Computing Machinery (ACM). https://doi.org/10.1145/2971648.2971744

Wang, Hao ; Zhang, Daqing ; Ma, Junyi et al. / Human respiration detection with commodity WiFi devices : do user location and body orientation matter?. Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016). New York, NY : Association for Computing Machinery (ACM), 2016. pp. 25-36 (UbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing).

@inproceedings{007957feda7149c4901ebf8168128fb3,

title = "Human respiration detection with commodity WiFi devices: do user location and body orientation matter?",

abstract = "Recent research has demonstrated the feasibility of detecting human respiration rate non-intrusively leveraging commodity WiFi devices. However, is it always possible to sense human respiration no matter where the subject stays and faces? What affects human respiration sensing and what's the theory behind? In this paper, we first introduce the Fresnel model in free space, then verify the Fresnel model for WiFi radio propagation in indoor environment. Leveraging the Fresnel model and WiFi radio propagation properties derived, we investigate the impact of human respiration on the receiving RF signals and develop the theory to relate one's breathing depth, location and orientation to the detectability of respiration. With the developed theory, not only when and why human respiration is detectable using WiFi devices become clear, it also sheds lights on understanding the physical limit and foundation of WiFi-based sensing systems. Intensive evaluations validate the developed theory and case studies demonstrate how to apply the theory to the respiration monitoring system design.",

keywords = "Channel state information (CSI), The fresnel zone, WiFi",

author = "Hao Wang and Daqing Zhang and Junyi Ma and Yasha Wang and Yuxiang Wang and Dan Wu and Tao Gu and Bing Xie",

year = "2016",

doi = "10.1145/2971648.2971744",

language = "English",

isbn = "9781450344616",

series = "UbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing",

publisher = "Association for Computing Machinery (ACM)",

pages = "25--36",

booktitle = "Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016)",

address = "United States",

note = "2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016 ; Conference date: 12-09-2016 Through 16-09-2016",

}

Wang, H, Zhang, D, Ma, J, Wang, Y, Wang, Y, Wu, D, Gu, T & Xie, B 2016, Human respiration detection with commodity WiFi devices: do user location and body orientation matter? in Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016). UbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Association for Computing Machinery (ACM), New York, NY, pp. 25-36, 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016, Heidelberg, Germany, 12/09/16. https://doi.org/10.1145/2971648.2971744

Human respiration detection with commodity WiFi devices: do user location and body orientation matter? / Wang, Hao; Zhang, Daqing; Ma, Junyi et al.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016). New York, NY: Association for Computing Machinery (ACM), 2016. p. 25-36 (UbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing).

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

TY - GEN

T1 - Human respiration detection with commodity WiFi devices

T2 - 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016

AU - Wang, Hao

AU - Zhang, Daqing

AU - Ma, Junyi

AU - Wang, Yasha

AU - Wang, Yuxiang

AU - Wu, Dan

AU - Gu, Tao

AU - Xie, Bing

PY - 2016

Y1 - 2016

N2 - Recent research has demonstrated the feasibility of detecting human respiration rate non-intrusively leveraging commodity WiFi devices. However, is it always possible to sense human respiration no matter where the subject stays and faces? What affects human respiration sensing and what's the theory behind? In this paper, we first introduce the Fresnel model in free space, then verify the Fresnel model for WiFi radio propagation in indoor environment. Leveraging the Fresnel model and WiFi radio propagation properties derived, we investigate the impact of human respiration on the receiving RF signals and develop the theory to relate one's breathing depth, location and orientation to the detectability of respiration. With the developed theory, not only when and why human respiration is detectable using WiFi devices become clear, it also sheds lights on understanding the physical limit and foundation of WiFi-based sensing systems. Intensive evaluations validate the developed theory and case studies demonstrate how to apply the theory to the respiration monitoring system design.

AB - Recent research has demonstrated the feasibility of detecting human respiration rate non-intrusively leveraging commodity WiFi devices. However, is it always possible to sense human respiration no matter where the subject stays and faces? What affects human respiration sensing and what's the theory behind? In this paper, we first introduce the Fresnel model in free space, then verify the Fresnel model for WiFi radio propagation in indoor environment. Leveraging the Fresnel model and WiFi radio propagation properties derived, we investigate the impact of human respiration on the receiving RF signals and develop the theory to relate one's breathing depth, location and orientation to the detectability of respiration. With the developed theory, not only when and why human respiration is detectable using WiFi devices become clear, it also sheds lights on understanding the physical limit and foundation of WiFi-based sensing systems. Intensive evaluations validate the developed theory and case studies demonstrate how to apply the theory to the respiration monitoring system design.

KW - Channel state information (CSI)

KW - The fresnel zone

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DO - 10.1145/2971648.2971744

M3 - Conference proceeding contribution

SN - 9781450344616

T3 - UbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

SP - 25

EP - 36

BT - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016)

PB - Association for Computing Machinery (ACM)

CY - New York, NY

Y2 - 12 September 2016 through 16 September 2016

ER -

Wang H, Zhang D, Ma J, Wang Y, Wang Y, Wu D et al. Human respiration detection with commodity WiFi devices: do user location and body orientation matter? In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016). New York, NY: Association for Computing Machinery (ACM). 2016. p. 25-36. (UbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing). doi: 10.1145/2971648.2971744

Human respiration detection with commodity WiFi devices: do user location and body orientation matter?

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Keywords

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