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Human identification using WiFi signal

Abstract:

WiFi devices are now pervasive in our environment. Recent research has demonstrated that it is possible to sense the perturbations created by human motion in the WiFi spectrum to identify basic activities, gestures and even keystrokes. In this demo, we address the yet unsolved problem of human identification using WiFi spectrum sensing. We present WiFi-ID, a device-free system that uses off-the-shelf equipment to uniquely identify individuals as they walk through urban spaces that are filled ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
Publisher:
Institute of Electrical and Electronics Engineers
Host title:
2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)
Journal:
2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) More from this journal
Publication date:
2016-03-14
Acceptance date:
2016-03-14
DOI:
Keywords:
Pubs id:
pubs:619966
UUID:
uuid:ccc0db46-39d4-4600-9993-1e2de0de25c2
Local pid:
pubs:619966
Source identifiers:
619966
Deposit date:
2016-05-09

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