A multimodal smartphone sensor system for behaviour measurement and health status inference
- Submitting institution
-
University of Ulster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 78117844
- Type
- D - Journal article
- DOI
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10.1016/j.inffus.2019.06.008
- Title of journal
- Information Fusion
- Article number
- -
- First page
- 43
- Volume
- 53
- Issue
- -
- ISSN
- 1566-2535
- Open access status
- Access exception
- Month of publication
- June
- Year of publication
- 2019
- 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 - Intelligent Systems Research Centre
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- <21> The research involved co-authorship with international interdisciplinary collaborators from UCD School of Public Health, Physiotherapy and Sports Science. Following publication, Dr. Kelly received invitation to act as a program chair for IEEE International Conference on Healthcare Informatics. The work is a core output of the SENDoc project (Interreg NPA - Project 93) and has led to further testing of wearable technology in 60 older adults in Sweden, Ireland, Northern Ireland and Finland.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -