Publication: Semantic Activity Analytics for Healthy Aging: Challenges and Opportunities
Semantic Activity Analytics for Healthy Aging: Challenges and Opportunities
Date
Date
Date
2018
Journal Article
Published version
Citations
Martin, M., Weibel, R., Röcke, C., & Boker, S. M. (2018). Semantic Activity Analytics for Healthy Aging: Challenges and Opportunities. IEEE Pervasive Computing, 17(3), 73–77. https://doi.org/10.1109/mprv.2018.03367738
Abstract
Abstract
Abstract
As real-life activity data from many aging individuals become available, insights gleaned from such data could be leveraged to foster healthy aging. The emerging field of semantic activity analytics is addressing this challenge.
Metrics
Views
261 since deposited on 2018-12-17
260last week
Acq. date: 2025-11-12
Additional indexing
Creators (Authors)
- Weibel, Robert
- Röcke, Christina
- Boker, Steven M
Volume
Volume
Volume
17
Number
Number
Number
3
Page range/Item number
Page range/Item number
Page range/Item number
73
Page end
Page end
Page end
77
Item Type
Item Type
Item Type
Journal Article
Keywords
Computational Theory and Mathematics, Software, Computer Science Applications
Language
Language
Language
English
Publication date
Publication date
Publication date
2018-07-01
Date available
Date available
Date available
2018-12-17
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
1536-1268
OA Status
OA Status
OA Status
Closed
Publisher DOI
Metrics
Views
261 since deposited on 2018-12-17
260last week
Acq. date: 2025-11-12
Citations
Martin, M., Weibel, R., Röcke, C., & Boker, S. M. (2018). Semantic Activity Analytics for Healthy Aging: Challenges and Opportunities. IEEE Pervasive Computing, 17(3), 73–77. https://doi.org/10.1109/mprv.2018.03367738
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