Chen, K, Chen, L, Han, D et al. (7 more authors) (2019) Towards wide-area contactless human sensing: poster abstract. In: Proceedings of the 17th Conference on Embedded Networked Sensor Systems - SenSys '19. SenSys '19: Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 10-13 Nov 2019, New York, USA. ACM Press ISBN 9781450369503
Abstract
Contactless wireless sensing without attaching a device to the target has achieved promising progress in recent years. However, one severe limitation in this field is the limited sensing range. This paper presents WideSee to realize wide-area sensing with only one transceiver pair. WideSee utilizes the LoRa signal to achieve a larger range of sensing and further incorporates drone's mobility to broaden the sensing area. We have developed a working prototype of WideSee for human target detection and localization that are especially useful in emergency scenarios like rescue and terrorist search. We also evaluated WideSee with field study in a high-rise building, which demonstrates the great potential of WideSee for supporting wide-area contactless sensing applications with a single LoRa transceiver pair hosted on a drone.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 30 Jan 2020 14:21 |
Last Modified: | 30 Jan 2020 14:21 |
Status: | Published |
Publisher: | ACM Press |
Identification Number: | 10.1145/3356250.3361931 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:156219 |