Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

Applications of data analytics: three data-driven reminiscence therapy deployments

Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389 (2017) Applications of data analytics: three data-driven reminiscence therapy deployments. In: Technology and Dementia Preconference at the Alzheimer's Associated International Conference, 15 July, 2017, London, UK.

Abstract
This presentation addresses how data analytics in all its forms, from machine learning to statistical correlation and visualisation, can offer some help in developing applications which support people with dementia and their carers. We specifically look at technology support for reminiscence therapy and describe three systems we have developed, deployed and are testing. Two of these use data analytics at their core while the third does not. Thus the takeaway message from the presentation is that data analytics is not always a panacea for all problems.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:No
Uncontrolled Keywords:dementia; reminiscence therapy
Subjects:Computer Science > Interactive computer systems
Computer Science > Machine learning
Computer Science > Artificial intelligence
Computer Science > Image processing
DCU Faculties and Centres:Research Initiatives and Centres > INSIGHT Centre for Data Analytics
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:21878
Deposited On:17 Jul 2017 10:45 by Alan Smeaton . Last Modified 08 Aug 2018 10:37
Documents

Full text available as:

[thumbnail of Alz-Assoc-Conf-London-2017.pdf]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
9MB
Downloads

Downloads

Downloads per month over past year

Archive Staff Only: edit this record