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Physical Activity Sensing via Stand-Alone WiFi Device

Li, W; Piechocki, R; Woodbridge, K; Chetty, K; (2020) Physical Activity Sensing via Stand-Alone WiFi Device. In: Ulema, Mehmet, (ed.) Proceedings of 2019 IEEE Global Communications Conference (GLOBECOM). IEEE Green open access

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WiFi signals for physical activity sensing shows promising potential for many healthcare applications due to its potential for recognising various everyday activities, non-invasive nature and low intrusion on privacy. Traditionally, WiFi-based sensing uses the Channel State Information (CSI) from an offthe- shelf WiFi Access Point (AP) which transmits signals that have high pulse repetition frequencies. However, when there are no users on the communication network only beacon signals are transmitted from the WiFi AP which significantly deteriorates the sensitivity and specificity of such systems. Surprisingly WiFi based sensing under these conditions have received little attention given that WiFi APs are frequently in idle state. This paper presents a practical system based on passive radar technique which does not require any special setup or preset firmware and able to work with any commercial WiFi device. To cope with the low density of beacon signal, a modified Cross Ambiguity Function (CAF) has been proposed to reduce redundant samples in the recorded. In addition, an external device has been developed to send WiFi probe request signals and stimulate an idle AP to transmit WiFi probe responses thus generate usable transmission signals for sensing applications without the need to authenticate and join the network. Experimental results prove that proposed concept can significantly improve activity detection and is an ideal candidate for future healthcare and security applications.

Type: Proceedings paper
Title: Physical Activity Sensing via Stand-Alone WiFi Device
Event: IEEE Global Communications Conference
Location: Hawaii, USA
Dates: 09 December 2019 - 13 October 2019
ISBN-13: 978-1-7281-0963-3
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/GLOBECOM38437.2019.9013750
Publisher version: https://doi.org/10.1109/GLOBECOM38437.2019.9013750
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: WiFi Sensing, Physical Activity, Modified Cross Ambiguity Function, Stand-Alone WiFi Device
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Security and Crime Science
URI: https://discovery.ucl.ac.uk/id/eprint/10084427
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