Recov-R: Evaluation of a Home-Based Tailored Exergame System to Reduce Fall risk in Seniors
- Submitting institution
-
Heriot-Watt University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 27167423
- Type
- D - Journal article
- DOI
-
10.1145/3325280
- Title of journal
- ACM Transactions on Computer-Human Interaction
- Article number
- 23
- First page
- -
- Volume
- 26
- Issue
- 4
- ISSN
- 1073-0516
- Open access status
- Exception within 3 months of publication
- Month of publication
- July
- 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
-
1
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper was published in the top international journal in the field (TOCHI) and was a follow on study based on the promising results from an £1.5M research project funded by UKRI focused on rehabiliation technology. The Digital Health Innovation Centre funded a larger long term follow up trial of the technology and this paper reports on the methdology employed in that trial and its statistically significant results in terms of improving outcomes of physical function – mobility and balance through our design of effective exergame technologies for musculoskeletal rehabilitation.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
