CrossSense: Towards Cross-Site and Large-Scale WiFi Sensing
- Submitting institution
-
The University of Leeds
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- UOA11-4031
- Type
- E - Conference contribution
- DOI
-
10.1145/3241539.3241570
- Title of conference / published proceedings
- MobiCom '18: Proceedings of the 24th Annual International Conference on Mobile Computing and Networking
- First page
- 305
- Volume
- -
- Issue
- -
- ISSN
- 1543-5679
- Open access status
- Technical exception
- Month of publication
- October
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
5
- Research group(s)
-
E - DSS (Distributed Systems and Services)
- Citation count
- 19
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work enables WiFi sensing, a promising technology that underpins many future innovative applications in smart homes and offices, to scale up to new environments and larger problems. It boosts the accuracy of state-of-the-arts by 4x. Published in Mobicom 2018, as one of 42 papers accepted from 187 submissions (22% acceptance rate), and was the only accepted paper from a UK institution. 4 out of the 7 reviewers gave the highest overall score by considering this work to have transformative ideas. It was the third-most downloaded article on ACM Digital Library of the Proceedings in March 2021.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
