Occupancy and daily activity event modelling in smart homes for older adults with mild cognitiveiImpairment or dementia
Chapter, Peer reviewed
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Original versionCasagrande, F.D. & Zouganeli, E. P. (2018). Occupancy and daily activity event modelling in smart homes for older adults with mild cognitive impairment or dementia. I L.E. Øi, T.M. Komulainen, R.T. Bye & L.O. Nord (Red.), Proceedings of The 59th Conference on Simulation and Modelling (SIMS 59), 26-28 September 2018, Oslo Metropolitan University, Norway, (s. 236-242). http://doi.org/10.3384/ecp18153236
In this paper we present event anticipation and prediction of sensor data in a smart home environment with a limited number of sensors. Data is collected from a real home with one resident. We apply two state-of-the-art Markov based prediction algorithms − Active LeZi and SPEED − and analyse their performance with respect to a number of parameters, including the size of the training and testing set, the size of the prediction window, and the number of sensors. The model is built based on a training dataset and subsequently tested on a separate test dataset. An accuracy of 75% is achieved when using SPEED while 53% is achieved when using Active LeZi.