E. M. Tapia, S. S. Intille, and K. Larson, Activity Recognition in the Home Using Simple and Ubiquitous Sensors, Pervasive Computing, vol.2, pp.158-175, 2004.
DOI : 10.1007/978-3-540-24646-6_10

H. Storf, M. Becker, and M. Riedl, Rule-based activity recognition framework: Challenges, technique and learning, Proceedings of the 3d International ICST Conference on Pervasive Computing Technologies for Healthcare, pp.1-7, 2009.
DOI : 10.4108/ICST.PERVASIVEHEALTH2009.6108

T. Van-kasteren and B. Krose, Bayesian activity recognition in residence for elders, 3rd IET International Conference on Intelligent Environments (IE 07), pp.209-212, 2007.
DOI : 10.1049/cp:20070370

J. Coutaz, J. L. Crowley, S. Dobson, and D. Garlan, Context is key, Communications of the ACM, vol.48, issue.3, pp.49-53, 2005.
DOI : 10.1145/1047671.1047703

J. Aggarwal and M. Ryoo, Human activity analysis, ACM Computing Surveys, vol.43, issue.3, pp.1-43, 2011.
DOI : 10.1145/1922649.1922653

F. Portet, M. Vacher, C. Golanski, C. Roux, and B. Meillon, Design and evaluation of a smart home voice interface for the elderly: acceptability and objection aspects, Personal and Ubiquitous Computing
DOI : 10.1007/s00779-011-0470-5

URL : https://hal.archives-ouvertes.fr/hal-00953242

R. Helaoui, M. Niepert, and H. Stuckenschmidt, A Statistical-Relational Activity Recognition Framework for Ambient Assisted Living Systems, International Symposium on Ambient Intelligence ISAmI, 2010.
DOI : 10.1007/978-3-642-13268-1_34

P. Zappi, C. Lombriser, T. Stiefmeier, E. Farella, D. Roggen et al., Activity Recognition from On-Body Sensors: Accuracy-Power Trade-Off by Dynamic Sensor Selection, European conference on Wireless Sensor Networks, pp.17-33, 2008.
DOI : 10.1007/978-3-540-77690-1_2

A. Fleury, M. Vacher, and N. Noury, SVM-Based Multimodal Classification of Activities of Daily Living in Health Smart Homes: Sensors, Algorithms, and First Experimental Results, IEEE Transactions on Information Technology in Biomedicine, vol.14, issue.2, pp.274-283, 2010.
DOI : 10.1109/TITB.2009.2037317

URL : https://hal.archives-ouvertes.fr/hal-00465076

T. Duong, D. Phung, H. Bui, and S. Venkatesh, Efficient duration and hierarchical modeling for human activity recognition, Artificial Intelligence, vol.173, issue.7-8, pp.7-8, 2009.
DOI : 10.1016/j.artint.2008.12.005

U. Naeem and J. Bigham, Activity Recognition using a Hierarchical Framework, The Proceedings of the Second ICST International Conference on Pervasive Computing Technologies for Healthcare, pp.24-27, 2008.
DOI : 10.4108/ICST.PERVASIVEHEALTH2008.2742

L. Chen and C. D. Nugent, Ontology???based activity recognition in intelligent pervasive environments, International Journal of Web Information Systems, vol.5, issue.4, pp.410-430, 2009.
DOI : 10.1108/17440080911006199

J. C. Augusto and C. D. Nugent, The use of temporal reasoning and management of complex events in smart homes, European Conference on Artificial Intelligence, pp.778-782, 2004.

L. Getoor and B. Taskar, Introduction to Statistical Relational Learning, 2007.

S. Natarajan, H. H. Bui, P. Tadepalli, K. Kersting, and W. Wong, Logical Hierarchical Hidden Markov Models for Modeling User Activities, Proceedings of the 18th international conference on Inductive Logic Programming, pp.192-209, 2008.
DOI : 10.1007/978-3-540-85928-4_17

L. Liao, Location-based Activity Recognition, 2006.

S. D. Tran and L. S. Davis, Event Modeling and Recognition Using Markov Logic Networks, Proceedings of the 10th European Conference on Computer Vision : Part II, pp.610-623, 2008.
DOI : 10.1007/978-3-540-88688-4_45

URL : http://alchemy.cs.washington.edu/papers/pdfs/tran-davis08.pdf

W. Edwards and R. Grinter, At Home with Ubiquitous Computing: Seven Challenges, Ubicomp 2001 : Ubiquitous Computing, pp.256-272, 2001.
DOI : 10.1007/3-540-45427-6_22

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.120.295

M. Klein, A. Schmidt, and R. Lauer, Ontology-centred design of an ambient middleware for assisted living : The case of soprano, Towards Ambient Intelligence : Methods for Cooperating Ensembles in Ubiquitous Environments (AIM-CU), 30th Annual German Conference on Artificial Intelligence, 2007.

S. Katz, Assessing Self-maintenance: Activities of Daily Living, Mobility, and Instrumental Activities of Daily Living, Journal of the American Geriatrics Society, vol.124, issue.12, pp.721-727, 1983.
DOI : 10.1111/j.1532-5415.1983.tb03391.x

M. Vacher, A. Fleury, F. Portet, J. F. Serignat, and N. Noury, Complete Sound and Speech Recognition System for Health Smart Homes: Application to the Recognition of Activities of Daily Living, pp.645-673, 2010.
DOI : 10.5772/7596

URL : https://hal.archives-ouvertes.fr/hal-00422576

P. Chahuara, F. Portet, and M. Vacher, Fusion of audio and temporal multimodal data by spreading activation for dweller localisation in a smart home, Time and Ambient Intelligence, pp.17-22, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00953558

M. Richardson and P. Domingos, Markov logic networks, Machine Learning, vol.23, issue.1-2, pp.107-136, 2006.
DOI : 10.1007/s10994-006-5833-1

D. Lowd and P. Domingos, Efficient Weight Learning for Markov Logic Networks, Lecture Notes in Computer Science, vol.4702, pp.200-211, 2007.
DOI : 10.1007/978-3-540-74976-9_21

C. Cortes and V. Vapnik, Support-vector networks, Machine Learning, vol.1, issue.3, pp.273-297, 1995.
DOI : 10.1007/BF00994018

N. Cristianini and J. Shawe-taylor, An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. 1 edn, 2000.

M. Vacher, F. Portet, A. Fleury, and N. Noury, Development of Audio Sensing Technology for Ambient Assisted Living, International Journal of E-Health and Medical Communications, vol.2, issue.1, pp.35-54, 2011.
DOI : 10.4018/jehmc.2011010103

URL : https://hal.archives-ouvertes.fr/hal-00757407