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UIC
2009
Springer

Context-Aware Activity Recognition through a Combination of Ontological and Statistical Reasoning

10 years 5 months ago
Context-Aware Activity Recognition through a Combination of Ontological and Statistical Reasoning
Abstract. In the last years, techniques for activity recognition have attracted increasing attention. Among many applications, a special interest is in the pervasive e-Health domain where automatic activity recognition is used in rehabilitation systems, chronic disease management, monitoring of the elderly, as well as in personal well being applications. Research in this field has mainly adopted techniques based on supervised learning algorithms to recognize activities based on contextual conditions (e.g., location, surrounding environment, used objects) and data retrieved from body-worn sensors. Since these systems rely on a sufficiently large amount of training data which is hard to collect, scalability with respect to the number of considered activities and contextual data is a major issue. In this paper, we propose the use of ontologies and ontological reasoning combined with statistical inferencing to address this problem. Our technique relies on the use of semantic relationships...
Daniele Riboni, Claudio Bettini
Added 25 May 2010
Updated 25 May 2010
Type Conference
Year 2009
Where UIC
Authors Daniele Riboni, Claudio Bettini
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