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An ontology for wearables data interoperability and ambient assisted living application development

: Diaz-Rodriguez, Natalia; Grönroos, Stefan; Wickström, Frank; Lilius, Johan; Eertink, Henk; Braun, Andreas; Dillen, Paul; Crowley, James L.; Alexandersson, Jan


Zadeh, L.A.:
Recent Developments and the New Direction in Soft-Computing Foundations and Applications : Selected Papers from the 6th World Conference on Soft Computing, May 22-25, 2016, Berkeley, USA
Cham: Springer International Publishing, 2018 (Studies in fuzziness and soft computing 361)
ISBN: 978-3-319-75408-6
ISBN: 978-3-319-75407-9
World Conference on Soft Computing <6, 2016, Berkeley/Calif.>
Fraunhofer IGD ()
Guiding Theme: Individual Health; Research Area: Human computer interaction (HCI); ambient assisted living (AAL)

Over the last decade a number of technologies have been developed that support individuals in keeping themselves active. This can be done via e-coaching mechanisms and by installing more advanced technologies in their homes. The objective of the Active Healthy Ageing (AHA) Platform is to integrate existing tools, hardware, and software that assist individuals in improving and/or maintaining a healthy lifestyle. This architecture is realized by integrating several hardware/software components that generate various types of data. Some examples include heart-rate data, coaching information, in-home activity patterns, mobility patterns, and so on. Various subsystems in the AHA platform can share their data in a semantic and interoperable way, through the use of a AHA data-store and a wearable devices ontology. This paper presents such an ontology for wearable data interoperability in Ambient Assisted Living environments. The ontology includes concepts such as height, weight , locations, activities, activity levels, activity energy expenditure, heart rate, or stress levels, among others. The purpose is serving application development in Ambient Intelligence scenarios ranging from activity monitoring and smart homes to active healthy ageing or lifestyle profiling.