Combining ontological and temporal formalisms for composite activity modelling and recognition in smart homes
- Submitting institution
-
De Montfort University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11099
- Type
- D - Journal article
- DOI
-
10.1016/j.future.2014.02.014
- Title of journal
- Future Generation Computer Systems
- Article number
- -
- First page
- 29
- Volume
- 39
- Issue
- -
- ISSN
- 0167-739X
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- 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
-
2
- Research group(s)
-
-
- Citation count
- 54
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper extended a paper from IUCC’2012 conference. One PhD thesis inspired by this paper’s approach. The author, (Ihianle, 2018), says “…we assembled their technique in almost the same way as explained…” Further examination of Ihianle’s work shows the use of 4D fluents and ontologies to model static and dynamic activities just like this paper had proposed. Ihianle, I. K. (2018). A Hybrid Approach to Recognising Activities of Daily Living from Patterns of Objects Use (Doctoral dissertation, University of East London).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -