Moynagh, Brian, Gurrin, Cathal
ORCID: 0000-0003-2903-3968, Albatal, Rami
ORCID: 0000-0002-9269-8578 and Ye, TengQi
(2014)
Real-time behavioural analysis using google glass.
In: Measuring Behavior 2014, 27-29 Aug, Wageningen - The Netherlands.
Abstract
Lifelogging is a form of pervasive computing that represents a phenomenon whereby people can digitally record their own daily lives in varying amounts of detail, for a variety of purposes. Lifelogging offers huge potential for supporting behaviour change because it can capture the totality of life experience and provide heretofore unknown levels of insight into the real-world activities of the lifelogger. In this paper we present a real-time curated lifelogging prototype that can support real-time behavioural analysis by supporting immediate feedback and intervention to the lifelogger.
Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Event Type: | Conference |
| Refereed: | Yes |
| Subjects: | Computer Science > Lifelog Computer Science > Machine learning |
| DCU Faculties and Centres: | Research Institutes and Centres > INSIGHT Centre for Data Analytics DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing |
| Published in: | Proceedings of Measuring Behavior 2014. . |
| Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
| Funders: | Science Foundation Ireland (SFI) under grant number SFI/12/RC/2289 |
| ID Code: | 20203 |
| Deposited On: | 24 Sep 2014 08:34 by Brian Moynagh . Last Modified 03 Feb 2023 14:54 |
Documents
Full text available as:
Preview |
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
418kB |
Downloads
Downloads
Downloads per month over past year
Archive Staff Only: edit this record