Wi-Fi based passive human motion sensing for in-home healthcare applications

Bo Tan; Alison Burrows; Robert Piechocki; Ian Craddock; Qingchao Chen; Karl Woodbridge; Kevin Chetty

doi:10.1109/WF-IoT.2015.7389123

Wi-Fi based passive human motion sensing for in-home healthcare applications

Bo Tan, Alison Burrows, Robert Piechocki, Ian Craddock, Qingchao Chen, Karl Woodbridge, Kevin Chetty

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

27 Citations (Scopus)

Abstract

This paper introduces a Wi-Fi signal based passive wireless sensing system that has the capability to detect diverse indoor human movements, from whole body motions to limb movements and breathing movements of the chest. The real time signal processing is used for human body motion sensing, and software defined radio demo system are described and verified in practical experiments scenarios, which include detection of through-wall human body movement, hand gesture or tremor, and even respiration. The experiment results offer potential for promising healthcare applications using Wi-Fi passive sensing in the home to monitor daily activities, to gather health data and detect emergency situations.

Original language	English
Title of host publication	IEEE World Forum on Internet of Things, WF-IoT 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	609-614
Number of pages	6
ISBN (Electronic)	978-1-5090-0366-2, 978-1-5090-0365-5
ISBN (Print)	978-1-5090-0367-9
DOIs	https://doi.org/10.1109/WF-IoT.2015.7389123
Publication status	Published - 20 Jan 2016
Externally published	Yes
Event	2nd IEEE World Forum on Internet of Things - Milan, Italy Duration: 14 Dec 2015 → 16 Dec 2015

Conference

Conference	2nd IEEE World Forum on Internet of Things
Abbreviated title	WF-IoT 2015
Country/Territory	Italy
City	Milan
Period	14/12/15 → 16/12/15

Keywords

Healthcare
human motion
in-home
Passive sensing
Wi-Fi

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Hardware and Architecture

UN SDGs

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

Access to Document

10.1109/WF-IoT.2015.7389123

27 Citations
1 Chapter

SPHERE: A sensor platform for healthcare in a residential environment
Woznowski, P., Burrows, A., Diethe, T., Fafoutis, X., Hall, J., Hannuna, S., Camplani, M., Twomey, N., Kozlowski, M., Tan, B., Zhu, N., Elsts, A., Vafeas, A., Paiement, A., Tao, L., Mirmehdi, M., Burdhardt, T., Damen, D., Flach, P., Piechocki, R., & 2 othersCraddock, I. & Oikonomou, G., 6 Dec 2016, Designing, Developing, and Facilitating Smart Cities: Urban Design to IoT Solutions. Angelakis, V., Tragos, E., Pöhls, H. C., Kapovits, A. & Bassi, A. (eds.). Switzerland: Springer, p. 315-333 19 p.
Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
59 Citations (Scopus)

Cite this

Tan, B., Burrows, A., Piechocki, R., Craddock, I., Chen, Q., Woodbridge, K., & Chetty, K. (2016). Wi-Fi based passive human motion sensing for in-home healthcare applications. In IEEE World Forum on Internet of Things, WF-IoT 2015 - Proceedings (pp. 609-614). Article 7389123 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WF-IoT.2015.7389123

Wi-Fi based passive human motion sensing for in-home healthcare applications. / Tan, Bo; Burrows, Alison; Piechocki, Robert et al.
IEEE World Forum on Internet of Things, WF-IoT 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. p. 609-614 7389123.

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

Tan, B, Burrows, A, Piechocki, R, Craddock, I, Chen, Q, Woodbridge, K & Chetty, K 2016, Wi-Fi based passive human motion sensing for in-home healthcare applications. in IEEE World Forum on Internet of Things, WF-IoT 2015 - Proceedings., 7389123, Institute of Electrical and Electronics Engineers Inc., pp. 609-614, 2nd IEEE World Forum on Internet of Things, Milan, Italy, 14/12/15. https://doi.org/10.1109/WF-IoT.2015.7389123

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abstract = "This paper introduces a Wi-Fi signal based passive wireless sensing system that has the capability to detect diverse indoor human movements, from whole body motions to limb movements and breathing movements of the chest. The real time signal processing is used for human body motion sensing, and software defined radio demo system are described and verified in practical experiments scenarios, which include detection of through-wall human body movement, hand gesture or tremor, and even respiration. The experiment results offer potential for promising healthcare applications using Wi-Fi passive sensing in the home to monitor daily activities, to gather health data and detect emergency situations.",

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AB - This paper introduces a Wi-Fi signal based passive wireless sensing system that has the capability to detect diverse indoor human movements, from whole body motions to limb movements and breathing movements of the chest. The real time signal processing is used for human body motion sensing, and software defined radio demo system are described and verified in practical experiments scenarios, which include detection of through-wall human body movement, hand gesture or tremor, and even respiration. The experiment results offer potential for promising healthcare applications using Wi-Fi passive sensing in the home to monitor daily activities, to gather health data and detect emergency situations.

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Wi-Fi based passive human motion sensing for in-home healthcare applications

Abstract

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Fingerprint

Research output

SPHERE: A sensor platform for healthcare in a residential environment

Cite this