N. Zouba, F. Bremond, and &. M. Thonnat, An activity monitoring system for real elderly at home: Validation study Multisensor Fusion for Monitoring Elderly Activities at Home, The 6 th IEEE International Conference ON Advanced Video and Signal Based Surveillance (AVSS 09) Introducing knowledge in the process of supervised classification of activities of Daily Living in Health Smart Homes, 7th IEEE International Conference on Advanced [11] N.Zouba, F.Bremond & M.Thonnat Health Networking Applications and Services (Healthcom) 12th IEEE International Conference, pp.322-329, 2009.

S. Zhang, S. Mcclean, B. Scotney, X. Hong, C. Nugent et al., Decision Support for Alzheimer's Patients in Smart Homes, Computer-Based Medical Systems, CBMS '08. 21st IEEE International Symposium, pp.236-241, 2008.

C. F. Crispim-junior, F. Bremond, and &. V. Joumier, A multi-sensor approach for activity recognition in older patients, The Second International Conference on Ambient Computing, Applications, Services and Technologies -AMBIENT 2012, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00726184

D. Malan, T. Fulford-jones, M. Welsh, and &. S. Moulton, CodeBlue: An Ad Hoc Sensor Network Infrastructure for Emergency Medical Care, MobySys 2004 Workshop on Applications of Mobile Embedded Systems, 2004.

C. Lombriser, D. Roggen, M. Stager, and &. G. Troster, Titan: A Tiny Task Network for Dynamically Reconfigurable Heterogeneous Sensor Networks, pp.26-28, 2007.
DOI : 10.1007/978-3-540-69962-0_11

W. Li, J. Bao, X. Fu, G. Fortino, and &. S. Galzarano, Human Postures Recognition Based on D-S Evidence Theory and Multi-sensor Data Fusion, 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012), pp.912-917
DOI : 10.1109/CCGrid.2012.144

T. B. Moeslund and E. Granum, A Survey of Computer Vision-Based Human Motion Capture, Computer Vision and Image Understanding, pp.231-268, 2001.

D. Hall, Mathematical Techniques in Multisensor Data Fusion, 1992.

G. R. Iverson, Bayesian Statistical Inference, 1984.
DOI : 10.4135/9781412983501

A. P. Dempster, A Generalization of Bayesian Inference, J.Royal Statist. Soc, vol.30, 1968.
DOI : 10.1007/978-3-540-44792-4_4

J. D. Lowrance and &. T. Garvey, Evidential reasoning: A developing concept, Proc. Int. Conf. on Cybern. and Soc, 1982.

O. Basir and &. X. Yuan, Engine fault diagnosis based on multi-sensor information fusion using DempsterShafer evidence theory, Information Fusion, pp.379-386, 2007.

H. Wu, M. Siegel, R. Stiefelhagen, and &. J. Yang, Sensor fusion using Dempster-Shafer theory [for contextaware HCI, Proc. Instrumentation and Measurement Technology Conference, pp.7-12, 2002.

R. R. Yager, On the DempsterShafer framework and new combination rules Prade, Representation and combination of uncertainty with belief functions and possibility measures, Information Sciences Computational Intelligence, vol.41, issue.4, p.244264, 1987.

P. Smets, The combination of evidence in the transferable belief model, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.12, issue.5, p.447458, 1990.
DOI : 10.1109/34.55104

C. K. Murphy, Combining belief functions when evidence conflicts, Decision Support Systems, vol.29, issue.1, 2000.
DOI : 10.1016/S0167-9236(99)00084-6

E. Lefevre, O. Colot, and &. P. Vannoorenberghe, Belief function combination and conflict management, Information Fusion, pp.149-162, 2002.
DOI : 10.1016/s1566-2535(02)00053-2

Y. Deng, W. Shi, Z. Zhu, and Q. Liu, Combining belief functions based on distance of evidence, Decision Support Systems, pp.489-493, 2004.

T. Ali, P. Dutta, and &. H. Boruah, A new combination rule rule for conflict problem of Dempster-Shafer evidence theory, International Journal of Energy, Information and Communications, vol.3, issue.1, 2012.

G. Shafer, A mathematical theory of evidence, 1976.