An Ontology-Based Hybrid Approach to Activity Modeling for Smart Homes
- Submitting institution
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University of Ulster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 76446365
- Type
- D - Journal article
- DOI
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10.1109/THMS.2013.2293714
- Title of journal
- IEEE Transactions on Human-Machine Systems
- Article number
- -
- First page
- 92
- Volume
- 44
- Issue
- 1
- ISSN
- 2168-2291
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2014
- 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
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2
- Research group(s)
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C - Pervasive Computing Research Centre
- Citation count
- 83
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- <21> This research combined knowledge-driven and data-driven approaches for activity modelling, thus initiating a new way of performing activity recognition. The results have been used to support and secure the research grant for the EU Horizon2020 MSCA ACROSSING innovative training network (Grant No. 676157, coordinator: Liming Chen), leading to 3 trained early-stage researchers and contributing to the delivery of advanced technology infrastructure and innovative application demos for the project.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -