Fang, B;
Lane, ND;
Zhang, M;
Boran, A;
Kawsar, F;
(2016)
BodyScan: Enabling Radio-based Sensing on Wearable Devices for Contactless Activity and Vital Sign Monitoring.
In: Agarwal, S and Mascolo, C, (eds.)
MobiSys '16 : Proceedings of the 14th Annual International Conference on Mobile Systems, Applications and Services.
(pp. pp. 97-110).
Association for Computing Machinery (ACM): New York, NY, USA.
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Abstract
Wearable devices are increasingly becoming mainstream consumer products carried by millions of consumers. However, the potential impact of these devices is currently constrained by fundamental limitations of their built-in sensors. In this paper, we introduce radio as a new powerful sensing modality for wearable devices and propose to transform radio into a mobile sensor of human activities and vital signs. We present BodyScan, a wearable system that enables radio to act as a single modality capable of providing whole-body continuous sensing of the user. BodyScan overcomes key limitations of existing wearable devices by providing a contactless and privacy-preserving approach to capturing a rich variety of human activities and vital sign information. Our prototype design of BodyScan is comprised of two components: one worn on the hip and the other worn on the wrist, and is inspired by the increasingly prevalent scenario where a user carries a smartphone while also wearing a wristband/smartwatch. This prototype can support daily usage with one single charge per day. Experimental results show that in controlled settings, BodyScan can recognize a diverse set of human activities while also estimating the user's breathing rate with high accuracy. Even in very challenging real-world settings, BodyScan can still infer activities with an average accuracy above 60% and monitor breathing rate information a reasonable amount of time during each day.
Type: | Proceedings paper |
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Title: | BodyScan: Enabling Radio-based Sensing on Wearable Devices for Contactless Activity and Vital Sign Monitoring |
Event: | MobiSys '16 : 14th Annual International Conference on Mobile Systems, Applications and Services, 25-30 June 2016, Singapore |
ISBN-13: | 9781450342698 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1145/2906388.2906411 |
Publisher version: | http://doi.acm.org/10.1145/2906388.2906411 |
Language: | English |
Additional information: | Copyright © 2016 Association for Computing Machinery (ACM). |
Keywords: | Wearables; Radio-based Sensing; Channel State Information (CSI); Activity Recognition; Vital Signs |
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 Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/1503668 |
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