Recognition of Activities of Daily Living is a problem that is still not yet solved. In addition, it is important to realise that a neat solution can support healthcare systems to meet increasing population and ageing. Near existing fall detection solutions, a monitoring system of person’s daily activities will provide a lot of opportunities. For instance, doctors and caretakers will spend more time for patients who truly need them and the patient, in its turn, will receive recommendations in order to prevent disease development and progression. This paper presents a novel user-centric approach proposed and researched by the first author in the context of his Master thesis. The initial idea was to push off from the indoor localisation technique as it might improve recognition of person’s activities significantly. The experiments using Bluetooth beacons and a smartwatch demonstrated good results and a lot of potential.
CITATION STYLE
Zubaliy, A., Hristoskova, A., González-Deleito, N., & Tsiporkova, E. (2017). Towards recognising activities of daily living through indoor localisation techniques. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 1, pp. 769–778). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-319-49109-7_74
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