WiseFi: Activity Localization and Recognition on Commodity Off-the-Shelf WiFi Devices

Zhu, D; Pang, N; Li, G; Liu, S

WiseFi: Activity Localization and Recognition on Commodity Off-the-Shelf WiFi Devices

Zhu, D Pang, N Li, G Liu, S

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016, 2017, pp. 562 - 569
Issue Date:: 2017-01-20

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Field	Value	Language
dc.contributor.author	Zhu, D	en_US
dc.contributor.author	Pang, N	en_US
dc.contributor.author	Li, G	en_US
dc.contributor.author	Liu, S https://orcid.org/0000-0001-6062-6580	en_US
dc.date.issued	2017-01-20	en_US
dc.identifier.citation	Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016, 2017, pp. 562 - 569	en_US
dc.identifier.isbn	9781509042968	en_US
dc.identifier.uri	http://hdl.handle.net/10453/122333
dc.description.abstract	© 2016 IEEE. Most recently, activity localization and recognition has increasingly attracted significant attentions due to its broad range of applications to support smart devices. Pioneer systems based on WiFi signals usually require six to eight antennas to localize the activity while the commodity WiFi infrastructure does not meet this requirement. In addition, they also require the priori learning of wireless signals to recognize a pre-defined set of activities. In this paper, we present WiseFi, an activity localization and recognition system by leveraging fine-grained physical layer information on commodity off-the-shelf (COTS) WiFi devices. WiseFi harnesses the amplitude and the phase of Channel State Information (CSI), and the Angle-of-arrival (AOA) of blocked signals to localize and recognize human activity. The intuition behind WiseFi is that whenever the target occludes the incoming wireless signals, the power of AOA will drop in the same direction. Experimental results indicate that WiseFi can achieve comparable performance in activity localization and recognition on COTS WiFi devices.	en_US
dc.relation.ispartof	Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016	en_US
dc.relation.isbasedon	10.1109/HPCC-SmartCity-DSS.2016.0085	en_US
dc.title	WiseFi: Activity Localization and Recognition on Commodity Off-the-Shelf WiFi Devices	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2016 IEEE. Most recently, activity localization and recognition has increasingly attracted significant attentions due to its broad range of applications to support smart devices. Pioneer systems based on WiFi signals usually require six to eight antennas to localize the activity while the commodity WiFi infrastructure does not meet this requirement. In addition, they also require the priori learning of wireless signals to recognize a pre-defined set of activities. In this paper, we present WiseFi, an activity localization and recognition system by leveraging fine-grained physical layer information on commodity off-the-shelf (COTS) WiFi devices. WiseFi harnesses the amplitude and the phase of Channel State Information (CSI), and the Angle-of-arrival (AOA) of blocked signals to localize and recognize human activity. The intuition behind WiseFi is that whenever the target occludes the incoming wireless signals, the power of AOA will drop in the same direction. Experimental results indicate that WiseFi can achieve comparable performance in activity localization and recognition on COTS WiFi devices.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/104389