User activity recognition for energy saving in smart homes
- Submitting institution
-
University of Keele
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 368
- Type
- D - Journal article
- DOI
-
10.1016/j.pmcj.2014.08.006
- Title of journal
- Pervasive and Mobile Computing
- Article number
- -
- First page
- 156
- Volume
- 16
- Issue
- -
- ISSN
- 1574-1192
- Open access status
- Out of scope for open access requirements
- Month of publication
- August
- Year of publication
- 2014
- URL
-
https://www.sciencedirect.com/science/article/pii/S1574119214001382
- 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
- Yes
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 35
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Whilst at DICGIM, University of Palermo, this research into representing knowledge through structure led to Ortolani's Fulbright Scholarship (Missouri University of Science and Technology, 2017) and ongoing collaboration (sdas@mst.edu). The research has subsequently been refined using grammatical inference as a framework (https://doi.org/fgdh), and applied to mobility data (https://doi.org/fgdj). Taken up in various contexts, the idea of learning context by automatically identifying events has inspired e.g. the work by Shahriar and Rahman (https://doi.org/fgdk). Ortolani is PhD supervisor of Cottone and designed the subsystem for modelling activities in terms of recurrent structural patterns.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -