Abstract
The AAL Systems have been devised to monitor the life of persons in their home, in order to infer information on their state of health and to support their wellbeing. The achievement of this purpose is possible by means of various technologies and systems (such as, for instance, home environment sensors, personal sensors and clinical devices). This article describes the design and early development of a software tool, that allows to control an AAL System, completely based on an ontological approach. From this innovative point of view, an ontological formalization is used to describe a domain and to implement an automatic reason. This approach provides a dynamic model that can change its state and expand accordingly to rules that are also a part of the model. Such a description is continually updated with information provided by the AAL System database that reports the significant events recorded by the sensors. Then, exploiting the potential of an OWL-DL reasoner, decisions about the feedbacks that the System have to activate, are inferred.
Guido Matrella—Macro-areas of interest: well-being and active ageing, prevention and lifestyles
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Acknowledgements
The framework described in this article has used the AAL System developed in the context of the HELICOPTER AAL Project [18, 19] as a reference. In particular, the simulations carried out during the test of the A.I.zeta software, have exploited a database format, modeled on the specifications of the HELICOPTER Project.
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Matrella, G., Mordonini, M., Zanichelli, R., Zini, R. (2017). The A.I.zeta Framework: An Ontological Approach for AAL Systems Control. In: Cavallo, F., Marletta, V., Monteriù, A., Siciliano, P. (eds) Ambient Assisted Living. ForItAAL 2016. Lecture Notes in Electrical Engineering, vol 426. Springer, Cham. https://doi.org/10.1007/978-3-319-54283-6_17
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