Abstract
Dem@Home is an Ambient Assisted Living framework to support intelligent dementia care, by integrating a variety of ambient and wearable sensors together with sophisticated, interdisciplinary methods, such as image and semantic analysis. Semantic Web technologies, such as OWL, are used to represent sensor observations and application domain specifics as well as to implement hybrid activity recognition and problem detection solutions. Complete with tailored user interfaces, Dem@Home supports accurate monitoring of multiple aspects, such as physical activity, sleep, complex daily activities and problems, leading to adaptive interventions for the optimal care of dementia, validated in four home pilots.
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Stavropoulos, T. G., Meditskos, G., Tsompanidis, T., Andreadis, S., & Kompatsiaris, I. (2016). Dem@home: Ambient monitoring and clinical support for people living with dementia. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9989 LNCS, pp. 26–29). Springer Verlag. https://doi.org/10.1007/978-3-319-47602-5_6
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