Conference item
Robust Occupancy Inference with Commodity WiFi
- Abstract:
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Accurate occupancy information of indoor environments is one of the key prerequisites for many pervasive and context-aware services, e.g. smart building/home systems. Some of the existing occupancy inference systems can achieve impressive accuracy, but they either require labour-intensive calibration phases, or need to install bespoke hardware such as CCTV cameras, which are privacy-intrusive by default. In this paper, we present the design and implementation of a practical end-to-end occupan...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Access Document
- Files:
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(Accepted manuscript, pdf, 780.9KB)
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- Publisher copy:
- 10.1109/WiMOB.2016.7763228
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Authors
Funding
+ Engineering and Physical Sciences Research Council
More from this funder
Grant:
EP/J012017/1
EP/L00416X/1
+ Republic of Singapore National Research Foundation
More from this funder
Grant:
NRF2013EWT-EIRP04-012
SinBerBEST Program
NRF2011NRF-CRP001-090
Bibliographic Details
- Publisher:
- Institute of Electrical and Electronics Engineers Publisher's website
- Journal:
- WiMob 2016: 12th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications Journal website
- Host title:
- WiMob 2016: 12th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications
- Publication date:
- 2016-12-01
- Acceptance date:
- 2016-08-01
- DOI:
- Source identifiers:
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638857
Item Description
- Pubs id:
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pubs:638857
- UUID:
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uuid:41a2f067-b4a4-4cab-b621-f0e044e52d14
- Local pid:
- pubs:638857
- Deposit date:
- 2016-08-17
Terms of use
- Copyright holder:
- Institute of Electrical and Electronics Engineers
- Copyright date:
- 2016
- Notes:
- © IEEE 2016. This article has been accepted for WiMob 2016: 12th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (New York, USA: 17-19 October 2016).
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