Opportunistic physical activity monitoring via passive WiFi radar

Wenda Li; Bo Tan; Robert J. Piechocki; Ian Craddock

doi:10.1109/healthcom.2016.7749458

Opportunistic physical activity monitoring via passive WiFi radar

Wenda Li, Bo Tan, Robert J. Piechocki, Ian Craddock

Biomedical Engineering

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

21 Citations (Scopus)

Abstract

Physical activity envelope provides invaluable information in numerous pervasive health applications. Physical activity is traditionally gleaned using a range of wearable inertial sensors and/or video technology. This paper introduces a novel opportunistic and non-intrusive monitoring system which can quantify activity levels based on analysis of ambient WiFi signal scatter. A real-time signal processing framework is developed, and the proposed system is implemented in software defined radio platform. Experimental results corroborate the efficacy of the proposed system in long term ADL monitoring in residential healthcare applications.

Original language	English
Title of host publication	Proceedings of the 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services
Subtitle of host publication	Healthcom 2016
Publisher	IEEE
Number of pages	6
ISBN (Print)	9781509033706
DOIs	https://doi.org/10.1109/healthcom.2016.7749458
Publication status	Published - Sept 2016
Event	18th IEEE International Conference on e-Health Networking, Applications and Services, Healthcom 2016 - Munich, Germany Duration: 14 Sept 2016 → 16 Sept 2016

Conference

Conference	18th IEEE International Conference on e-Health Networking, Applications and Services, Healthcom 2016
Abbreviated title	Healthcom 2016
Country/Territory	Germany
City	Munich
Period	14/09/16 → 16/09/16

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10.1109/healthcom.2016.7749458

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title = "Opportunistic physical activity monitoring via passive WiFi radar",

abstract = "Physical activity envelope provides invaluable information in numerous pervasive health applications. Physical activity is traditionally gleaned using a range of wearable inertial sensors and/or video technology. This paper introduces a novel opportunistic and non-intrusive monitoring system which can quantify activity levels based on analysis of ambient WiFi signal scatter. A real-time signal processing framework is developed, and the proposed system is implemented in software defined radio platform. Experimental results corroborate the efficacy of the proposed system in long term ADL monitoring in residential healthcare applications.",

author = "Wenda Li and Bo Tan and Piechocki, {Robert J.} and Ian Craddock",

year = "2016",

month = sep,

doi = "10.1109/healthcom.2016.7749458",

language = "English",

isbn = "9781509033706",

booktitle = "Proceedings of the 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services",

publisher = "IEEE",

note = "18th IEEE International Conference on e-Health Networking, Applications and Services, Healthcom 2016, Healthcom 2016 ; Conference date: 14-09-2016 Through 16-09-2016",

}

Li, W, Tan, B, Piechocki, RJ & Craddock, I 2016, Opportunistic physical activity monitoring via passive WiFi radar. in Proceedings of the 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services : Healthcom 2016. IEEE, 18th IEEE International Conference on e-Health Networking, Applications and Services, Healthcom 2016, Munich, Germany, 14/09/16. https://doi.org/10.1109/healthcom.2016.7749458

TY - GEN

T1 - Opportunistic physical activity monitoring via passive WiFi radar

AU - Li, Wenda

AU - Tan, Bo

AU - Piechocki, Robert J.

AU - Craddock, Ian

PY - 2016/9

Y1 - 2016/9

N2 - Physical activity envelope provides invaluable information in numerous pervasive health applications. Physical activity is traditionally gleaned using a range of wearable inertial sensors and/or video technology. This paper introduces a novel opportunistic and non-intrusive monitoring system which can quantify activity levels based on analysis of ambient WiFi signal scatter. A real-time signal processing framework is developed, and the proposed system is implemented in software defined radio platform. Experimental results corroborate the efficacy of the proposed system in long term ADL monitoring in residential healthcare applications.

AB - Physical activity envelope provides invaluable information in numerous pervasive health applications. Physical activity is traditionally gleaned using a range of wearable inertial sensors and/or video technology. This paper introduces a novel opportunistic and non-intrusive monitoring system which can quantify activity levels based on analysis of ambient WiFi signal scatter. A real-time signal processing framework is developed, and the proposed system is implemented in software defined radio platform. Experimental results corroborate the efficacy of the proposed system in long term ADL monitoring in residential healthcare applications.

U2 - 10.1109/healthcom.2016.7749458

DO - 10.1109/healthcom.2016.7749458

M3 - Conference contribution

SN - 9781509033706

BT - Proceedings of the 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services

PB - IEEE

T2 - 18th IEEE International Conference on e-Health Networking, Applications and Services, Healthcom 2016

Y2 - 14 September 2016 through 16 September 2016

ER -

Opportunistic physical activity monitoring via passive WiFi radar

Abstract

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