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WiFi-ID: Human identification using WiFi signal

Abstract:

Prior research has shown the potential of devicefree WiFi sensing for human activity recognition. In this paper, we show for the first time WiFi signals can also be used to uniquely identify people. There is strong evidence that suggests that all humans have a unique gait. An individual’s gait will thus create unique perturbations in the WiFi spectrum. We propose a system called WiFi-ID that analyses the channel state information to extract unique features that are representative of the walki...

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Publication status:
Accepted
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
Publisher:
IEEE Publisher's website
Host title:
IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS 2016)
Publication date:
2016-01-01
Acceptance date:
2016-04-03
Event location:
Washington DC
ISSN:
2325-2936
Source identifiers:
615393
Pubs id:
pubs:615393
UUID:
uuid:7cce80ac-a417-4561-b7bf-9f43dc3634e8
Local pid:
pubs:615393
Deposit date:
2016-04-15

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