A Big Bang–Big Crunch Type-2 Fuzzy Logic System for Machine-Vision-Based Event Detection and Summarization in Real-World Ambient-Assisted Living
- Submitting institution
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The University of Essex
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1148
- Type
- D - Journal article
- DOI
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10.1109/TFUZZ.2016.2514366
- Title of journal
- IEEE Transactions on Fuzzy Systems
- Article number
- 6
- First page
- 1307
- Volume
- 24
- Issue
- 6
- ISSN
- 1063-6706
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2016
- 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
-
3
- Research group(s)
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A - Artificial Intelligence (AI)
- Citation count
- 4
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Presented first system encompassing 3D vision sensors and type-2 fuzzy Logic for real-time automatic detection and summarization of important events and human behaviours from large-scale live video data. This resulted in PCT patent (https://patentscope.wipo.int/search/en/detail.jsf?docId=EP212504911&_cid=P22-KKILNL-78150-3 ), resultant products will be sold by one of the biggest security companies (Leonardo:as-per-following URL). This technology potentially changes the way CCTV is monitored and used, particularly in care settings with its ability to predict when a resident is in need of assistance (https://www.eadt.co.uk/news/business/university-of-essex-partnerships-with-businesses-2519136). Published in IEEE-TFS, the top fuzzy systems journal, excellence also evidenced by Yao winning best student paper at the flagship FUZZ-IEEE'14 conference.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
