dc.contributor.author | Casagrande, Flavia Dias | |
dc.contributor.author | Zouganeli, Evi | |
dc.date.accessioned | 2019-01-17T13:38:54Z | |
dc.date.accessioned | 2019-06-04T11:45:41Z | |
dc.date.available | 2019-01-17T13:38:54Z | |
dc.date.available | 2019-06-04T11:45:41Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | 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). | en |
dc.identifier.isbn | 978-91-7685-494-5 | |
dc.identifier.issn | 1650-3740 | |
dc.identifier.issn | 1650-3686 | |
dc.identifier.issn | 1650-3740 | |
dc.identifier.uri | https://hdl.handle.net/10642/7194 | |
dc.description.abstract | 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. | en |
dc.language.iso | en | en |
dc.publisher | Linköping University Electronic Press | en |
dc.relation.ispartofseries | Linköping Electronic Conference Proceedings;153 | |
dc.subject | Smart home | |
dc.subject | Prediction models | |
dc.subject | Sensor data | |
dc.subject | Occupancy modelling | |
dc.subject | Event modelling | |
dc.title | Occupancy and daily activity event modelling in smart homes for older adults with mild cognitiveiImpairment or dementia | en |
dc.type | Chapter | en |
dc.type | Peer reviewed | en |
dc.date.updated | 2019-01-17T13:38:54Z | |
dc.description.version | acceptedVersion | en |
dc.identifier.doi | http://doi.org/10.3384/ecp18153236 | |
dc.identifier.cristin | 1657629 | |
dc.relation.projectID | Norges forskningsråd: 247620 | |
dc.source.isbn | 978-91-7685-494-5 | |