I Caliskanelli
Kinecting frailty : a pilot study on frailty
Caliskanelli, I; Nefti-Meziani, S; Hodgson, A
Authors
S Nefti-Meziani
A Hodgson
Contributors
J Zhou
Editor
G Salvendy
Editor
Abstract
Most elderly people wish to live independently at home, but are at risk of social isolation, inactivity, low mood, falls and increased frailty. To keep them safe at home without unnecessary, expensive hospitalisations we will investigate a new eHealth application using the Microsoft Kinect. This pilot study evaluates user engagement with Kinect when used for remote monitoring in the homes of frail adults and to provisionally validate the system’s ability to detect key “indicators” of health events and states in a home setting. 12 older people in homes for the elderly in Salford, UK will be observed with MS Kinect. User engagement will be assessed via interviews. Health events/states identified by the Kinect will be compared to researcher assessments and user reports.
Citation
Caliskanelli, I., Nefti-Meziani, S., & Hodgson, A. Kinecting frailty : a pilot study on frailty. Presented at International Conference on Human Aspects of IT for the Aged Population (ITAP) 2018, Las Vegas, USA
Presentation Conference Type | Other |
---|---|
Conference Name | International Conference on Human Aspects of IT for the Aged Population (ITAP) 2018 |
Conference Location | Las Vegas, USA |
End Date | Jul 20, 2018 |
Online Publication Date | Jun 2, 2018 |
Publication Date | Jun 2, 2018 |
Deposit Date | Aug 24, 2018 |
Series Title | Lecture Notes in Computer Science |
Book Title | Human Aspects of IT for the Aged Population. Applications in Health, Assistance, and Entertainment |
ISBN | 9783319920368-(print);-9783319920375-(online) |
DOI | https://doi.org/10.1007/978-3-319-92037-5_19 |
Publisher URL | https://doi.org/10.1007/978-3-319-92037-5_19 |
Related Public URLs | https://doi.org/10.1007/978-3-319-92037-5 |
Additional Information | Event Type : Conference |
Downloadable Citations
About USIR
Administrator e-mail: library-research@salford.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search