An Ontology-Driven Elderly People Home Mobilization Approach ⋆ Karagiorgou Sophia 1 , Ntalaperas Dimitrios 2 , Vafeiadis Georgios 2 , Alexandrou Dimitrios 1 , Perakis Konstantinos 1 , Baltas Dimitrios 2 , Amza Claudiu 2 , Wanka Anna 3 , Freitag Hermine 4 , Blok Marije 5 , Kampel Martin 6 , Veerle de Rond 7 , M¨ unzer Thomas 8 , and Planinc Rainer 9 1 UBITECH LTD 2 Bluepoint Consulting Srl 3 Department of Sociology, University of Vienna 4 Samariterbund Wien 5 National Foundation for the Elderly 6 Computer Vision Lab, Vienna University of Technology 7 SilverFit 8 Geriatrische Klinik St. Gallen 9 CogVis Software and Consulting GmbH Abstract. The use of virtual reality games, known as “exergaming”, is gaining more and more interest as a mobilization tool and as a key piece in the delivery of quality health, especially in elderly people. Mobility tracking of elderly people facilitates the extraction of useful spatiotem- poral characteristics regarding their activities and behavior at home. Currently, the analysis of human mobility is based on expensive technolo- gies. In this paper, we propose a semantic interoperability agent which exploits mobility tracking and spatiotemporal characteristics to extract human profiling and give incentives for mobilization at home. The agent exploits an extended ontology which facilitates the collation of evidence for the effects of exergaming on the movement control of older adults. In order to provide personalized monitoring services, a number of rules are individually defined to generate incentives. To evaluate the proposed semantic interoperability agent, human mobility data are collected and analyzed based on daily activities, their duration and mobility patterns. We show that the proposed agent is robust enough for activity classifi- cation, and that the recommendations for mobilization are accurate. We further demonstrate the agent’s potential in useful knowledge inference regarding personalized elderly people home care. Keywords: sensor and health data integration · ontologies and data models · health semantics · recommendations · knowledge management. 1 Introduction The increasing trend in the number of elderly people is a major public health challenge. Home support is an important preoccupation for the elderly and their families. It is known that physical activity is important for older adults at any age and health status, i.e. from a 50-year-old up to a 80-year-old. ⋆ This work will be published as part of the book ”Emerging Topics in Semantic Technologies. ISWC 2018 Satellite Events. E. Demidova, A.J. Zaveri, E. Simperl (Eds.), ISBN: 978-3-89838-736-1, 2018, AKA Verlag Berlin”.