W. Alì-egre, T. Burger, P. Berruet, and J. Y. Antoine, Modèle de supervision d'interactions non-intrusif basé sur les ontologies, pp.285-290, 2012.

O. Brdiczka, J. L. Crowley, and P. Reignier, Learning Situation Models in a Smart Home, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), vol.39, issue.1, pp.56-63, 2009.
DOI : 10.1109/TSMCB.2008.923526
URL : https://hal.archives-ouvertes.fr/hal-00665319

L. Chen, C. D. Nugent, and H. Wang, A Knowledge-Driven Approach to Activity Recognition in Smart Homes, IEEE Transactions on Knowledge and Data Engineering, vol.24, issue.6, pp.961-974, 2012.
DOI : 10.1109/TKDE.2011.51

D. J. Cook, N. C. Krishnan, and P. Rashidi, Activity Discovery and Activity Recognition: A New Partnership, IEEE Transactions on Cybernetics, vol.43, issue.3, pp.820-828, 2013.
DOI : 10.1109/TSMCB.2012.2216873
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3772991

J. L. Crowley and J. Coutaz, An Ecological View of Smart Home Technologies, European Conference on Ambient Intelligence, pp.1-16, 2015.
DOI : 10.1007/978-3-319-26005-1_1
URL : https://hal.archives-ouvertes.fr/hal-01211137

J. Cumin and G. Lefebvre, A Priori Data and A Posteriori Decision Fusions for Human Action Recognition, Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2016.
DOI : 10.5220/0005680204930500
URL : https://hal.archives-ouvertes.fr/hal-01282008

A. K. Dey, Understanding and using context. Personal and ubiquitous computing, pp.4-7, 2001.
DOI : 10.1007/s007790170019
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.31.9786

M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann et al., The WEKA data mining software, ACM SIGKDD Explorations Newsletter, vol.11, issue.1, pp.10-18, 2009.
DOI : 10.1145/1656274.1656278

F. J. Ordóñez and D. Roggen, Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition, Sensors, vol.6, issue.1, p.115, 2016.
DOI : 10.1007/s00779-013-0638-2

K. Ouchi and M. Doi, A real-time living activity recognition system using off-theshelf sensors on a mobile phone, International and Interdisciplinary Conference on Modeling and Using Context, pp.226-232, 2011.
DOI : 10.1007/978-3-642-24279-3_24

D. Roggen, A. Calatroni, M. Rossi, T. Holleczek, K. Forster et al., Collecting complex activity datasets in highly rich networked sensor environments, 2010 Seventh International Conference on Networked Sensing Systems (INSS), pp.233-240, 2010.
DOI : 10.1109/INSS.2010.5573462
URL : https://infoscience.epfl.ch/record/148362/files/RoggenCaRoHoFTrLuBa10.pdf

D. Townsend, F. Knoefel, and R. Goubran, Privacy versus autonomy: A tradeoff model for smart home monitoring technologies, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.4749-4752, 2011.
DOI : 10.1109/IEMBS.2011.6091176

D. H. Wolpert, Stacked generalization, Neural Networks, vol.5, issue.2, pp.241-259, 1992.
DOI : 10.1016/S0893-6080(05)80023-1

C. Wu, A. H. Khalili, and H. Aghajan, Multiview activity recognition in smart homes with spatio-temporal features, Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC '10, pp.142-149, 2010.
DOI : 10.1145/1865987.1866010