Abstract
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.
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Notes
- 1.
- 2.
Smart-M3 Project: http://sourceforge.net/projects/smart-m3/.
- 3.
- 4.
Kinect remote rehabilitation demo: https://www.youtube.com/watch?v=XL4JexDNs-Q.
- 5.
Kinect sit-to-stand demo: https://www.youtube.com/watch?v=g8HOtFTk80c.
- 6.
Wearables ontology: https://github.com/NataliaDiaz/Ontologies/blob/master/AHA.owl.
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Kinect ontology: http://users.abo.fi/rowikstr/KinectOntology/.
- 8.
Security and privacy ontology: https://github.com/NataliaDiaz/SecurityAccessControlOntology.
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Acknowledgements
We acknowledge the support of EU EIT Digital project no. HWB13070 on Active Healthy Ageing within the Health and Well-being action line and the ICT COST Action IC1303 (European Cooperation in Science and Technology), Algorithms, Architectures and Platforms for Enhanced Living Environments (AAPELE) http://www.aapele.eu. We thank our project partners Marion Karppi (Turku University of Applied Sciences), Antonio De Nigro and Francesco Torelli (R&D Lab—Engineering Ingegneria Informatica), Iman Khaghani Far (University of Trento), Josef Hallberg (Luleå University), Syed Naseh (We-Care), Rafal Kocielnik (TUE) and Marcos Baez (University of Trento).
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Díaz-Rodríguez, N. et al. (2018). An Ontology for Wearables Data Interoperability and Ambient Assisted Living Application Development. In: Zadeh, L., Yager, R., Shahbazova, S., Reformat, M., Kreinovich, V. (eds) Recent Developments and the New Direction in Soft-Computing Foundations and Applications. Studies in Fuzziness and Soft Computing, vol 361. Springer, Cham. https://doi.org/10.1007/978-3-319-75408-6_43
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