Occupancy and daily activity event modelling in smart homes for older adults with mild cognitiveiImpairment or dementia
Chapter, Peer reviewed
Accepted version
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https://hdl.handle.net/10642/7194Utgivelsesdato
2018Metadata
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Originalversjon
Casagrande, 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/ecp18153236Sammendrag
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.