Abstract
Telecare, and particularly lifestyle monitoring,
currently relies on the ability to detect and respond to
changes in individual behaviour using data derived from
sensors around the home. This means that a significant
aspect of behaviour, that of an individuals emotional
state, is not accounted for in reaching a conclusion as to
the form of response required. The linked concepts of
emotive and adaptive computing offer an opportunity to
include information about emotional state and the paper
considers how current developments in this area have
the potential to be integrated within telecare and other
areas of eHealth. In doing so, it looks at the development
of and current state of the art of both emotive and
adaptive computing, including its conceptual
background, and places them into an overall eHealth
context for application and development.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 1st IEEE Conference on Healthcare Informatics, Imaging and Systems Biology, San Jose, California, 26-29 July, 2011 |
| Editors | Aziz Boxwala, Xue-wen Chen, James S. Duncan, Satoru Miyano, Tanveer Syeda-Mahmood |
| Place of Publication | Los Alamitos, CA |
| Publisher | IEEE |
| Pages | 264-271 |
| Number of pages | 8 |
| ISBN (Electronic) | 9780769544076 |
| ISBN (Print) | 9781457703256 |
| DOIs | |
| Publication status | Published - 29 Jul 2011 |
| Event | First IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology - IBM Almaden Research Center, San Jose, United States Duration: 26 Jul 2011 → 29 Jul 2011 |
Conference
| Conference | First IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology |
|---|---|
| Abbreviated title | HISB 2011 |
| Country/Territory | United States |
| City | San Jose |
| Period | 26/07/11 → 29/07/11 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- eHealth
- Emotive computing
- Adaptive computing
- Telecare
- Lifestyle monitoring
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