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Semantic Activity Analytics for Healthy Aging: Challenges and Opportunities


Martin, Mike; Weibel, Robert; Röcke, Christina; Boker, Steven M (2018). Semantic Activity Analytics for Healthy Aging: Challenges and Opportunities. IEEE Pervasive Computing, 17(3):73-77.

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.

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.

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Additional indexing

Item Type:Journal Article, not_refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Psychology
07 Faculty of Science > Institute of Geography
08 Research Priority Programs > Dynamics of Healthy Aging
Dewey Decimal Classification:150 Psychology
Uncontrolled Keywords:Computational Theory and Mathematics, Software, Computer Science Applications
Language:English
Date:1 July 2018
Deposited On:17 Dec 2018 14:53
Last Modified:28 Feb 2019 08:38
Publisher:Institute of Electrical and Electronics Engineers
ISSN:1536-1268
OA Status:Closed
Publisher DOI:https://doi.org/10.1109/mprv.2018.03367738

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