Opportunistic physical activity monitoring via passive WiFi radar

Wenda Li; Bo Tan; Robert Piechocki; Ian  Craddock

doi:10.1109/HealthCom.2016.7749458

Opportunistic physical activity monitoring via passive WiFi radar

Wenda Li, Bo Tan, Robert Piechocki, Ian Craddock

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

22 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	2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)
Publisher	IEEE
ISBN (Electronic)	978-1-5090-3370-6
ISBN (Print)	978-1-5090-3371-3
DOIs	https://doi.org/10.1109/HealthCom.2016.7749458
Publication status	Published - 14 Sept 2016
Externally published	Yes
Publication type	A4 Article in conference proceedings
Event	International Conference on e-Health Networking, Applications and Services (Healthcom), IEEE - Munich, Germany Duration: 14 Sept 2016 → 16 Sept 2016 Conference number: 18

Conference

Conference	International Conference on e-Health Networking, Applications and Services (Healthcom), IEEE
Country/Territory	Germany
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 Robert Piechocki and Ian Craddock",

year = "2016",

month = sep,

day = "14",

doi = "10.1109/HealthCom.2016.7749458",

language = "English",

isbn = "978-1-5090-3371-3",

booktitle = "2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)",

publisher = "IEEE",

address = "United States",

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

}

Li, W, Tan, B, Piechocki, R & Craddock, I 2016, Opportunistic physical activity monitoring via passive WiFi radar. in 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom). IEEE, International Conference on e-Health Networking, Applications and Services (Healthcom), IEEE, 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

AU - Craddock, Ian

N1 - Conference code: 18

PY - 2016/9/14

Y1 - 2016/9/14

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 - 978-1-5090-3371-3

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

PB - IEEE

T2 - International Conference on e-Health Networking, Applications and Services (Healthcom), IEEE

Y2 - 14 September 2016 through 16 September 2016

ER -

Opportunistic physical activity monitoring via passive WiFi radar

Abstract

Conference

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