Conference item
WiFi-ID: Human identification using WiFi signal
- Abstract:
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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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(Accepted manuscript, pdf, 15.5MB)
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Authors
Bibliographic Details
- 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:
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2325-2936
- Source identifiers:
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615393
Item Description
- Pubs id:
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pubs:615393
- UUID:
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uuid:7cce80ac-a417-4561-b7bf-9f43dc3634e8
- Local pid:
- pubs:615393
- Deposit date:
- 2016-04-15
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2016
- Notes:
- This paper has been accepted to The annual International Conference on Distributed Computing in Sensor Systems (DCOSS 2016), May 26-28 2016, Washington, DC, USA.
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