From Activity Recognition to Intention Recognition for Assisted Living Within Smart Homes
- Submitting institution
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University of Ulster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 76473036
- Type
- D - Journal article
- DOI
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10.1109/THMS.2016.2641388
- Title of journal
- IEEE Transactions on Human-Machine Systems
- Article number
- -
- First page
- 368
- Volume
- 47
- Issue
- 3
- ISSN
- 2168-2291
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2017
- URL
-
-
- Supplementary information
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-
- 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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3
- Research group(s)
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C - Pervasive Computing Research Centre
- Citation count
- 60
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- <10> This work was supported by two funded EU AAL projects (PIA, grant number: AAL-2012-5-033; Home4Dem (as Karde AS subcontract), grant number: AAL 2014-1-041, 2015-2018). This incorporated the initial revision of a prototypical data storage/processing platform [10.1109/ACCESS.2018.2852656] called SensorCentral (SC). SC was licenced to a local SME (License Agreement U513, 2017, Contact: g.morrison@thelavagroup.co.uk) and featured in the impact case study (REF 2021, Technologies for self-management in Healthcare). SC has underpinned research into a next generation data storage/processing platform MATRIX and a further funded KTP project in 09/2020 with British Telecom (Contact: Mohammad Zoualfaghari - mh.zoualfaghari@bt.com).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -