Abstract
The overall purpose of the research discussed here is the enhancement of home-based care by revealing individual patterns in the life of a person, through modelling of the "busyness" of activity in their dwelling, so that care can be better tailored to their needs and changing circumstances. The use of data mining and on-line analytical processing (OLAP) is potentially interesting in this context because of the possibility of exploring, detecting and predicting changes in the level of activity of people's movement that may reflect change in well-being. An investigation is presented here into the use of data mining and visualisation to illustrate activity from sensor data from a trial project run in a domestic context.
Original language | English |
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Title of host publication | Assets '07 |
Subtitle of host publication | proceedings of the 9th international ACM SIGACCESS conference on Computers and accessibility |
Place of Publication | New York |
Publisher | Association for Computing Machinery |
Pages | 139-146 |
Number of pages | 8 |
ISBN (Print) | 9781595935731 |
DOIs | |
Publication status | Published - 2007 |
Event | 9th International ACM SIGACCESS Conference on Computers and Accessibility - Tempe, United States Duration: 15 Oct 2007 → 17 Oct 2007 http://www.sigaccess.org/assets07/ |
Conference
Conference | 9th International ACM SIGACCESS Conference on Computers and Accessibility |
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Abbreviated title | Assets 2007 |
Country/Territory | United States |
City | Tempe |
Period | 15/10/07 → 17/10/07 |
Internet address |
Keywords
- Older adults
- Independent living
- Assistive technology
- Visualisation
- Data mining
- Home