, Les auteurs tiennent à remercier le personnel soignant de l'unité Alzheimer de l'hôpital de Caussade pour leur collaboration dans les expérimentations, ainsi que l'Agence Nationale de la Recherche (ANR-TecSan) et la CNSA pour leur

. Insee, Institut national de la statistique et des études économiques, Disponible sur internet, 2012.

. Fried-lp, . Tangen-cm, J. Walston, . Newman-ab, C. Hirsch et al., Frailty in older adult's evidence for a phenotype, J Gerontol A Biol Sci Med Sci, vol.56, pp.146-157, 2001.

. Fried-lp, L. Ferrucci, J. Darer, J. D. Williamson, and . Anderson-g, Untangling the concepts of disability, frailty, and comorbidity: implications for improved targeting and care, J Gerontol A Biol Sci Med Sci, vol.59, pp.255-263, 2004.

. Campo-e, . Chan-m, W. Bourennane, and . Estève-d, Remote monitoring platform for prevention and detection of elderly deviant behaviour, 3rd International Conference: E-Medical Systems, 2010.

C. M. Campo and E. Esteve-d, PROSAFE, a multisensory remote monitoring system for the elderly or the handicapped, st International Conference On Smart homes and health Telematics, vol.1, pp.89-95, 2003.

Z. Alliance, ZigBee Specification, ZigBee Document 053474r06, p.11, 2005.

. Bourennane-w, F. Bettahar, and . Campo-e, Self adaptive trajectory learning for monitoring the elderly wandering, IASTED International Conference Biomedical Engineering, pp.254-259, 2013.

. Bourennane-w, Y. Charlon, . Chan-m, D. Estève, and . Campo-e, Integration of wearable device with actimetry system for monitoring Alzheimer's patients. International Conference on Wearable Micro and Nano Technologies for Personalised Health, 2011.

. Wen-hsing-k, . Yun-shen-c, . J. Gwei-tai, and . Tai-wei-l, An intelligent positioning approach: RSSI-based indoor and outdoor localization scheme in ZigBee networks, th International Conference on Machine Learning and Cybernetics, vol.9, pp.2754-2759, 2010.

J. Tsuji, H. Kawamura, . Suzuki-k, . Ikeda-t, . Sashima-a et al.,

, ZigBee based indoor localization with particle filter estimation, IEEE International Conference on Systems Man and Cybernetics. Istanbul, Turquie, pp.1115-1120

. Navarro-alvarez-e and . Siller-m, A Node Localization Scheme for Zigbee-based Sensor Networks, IEEE International Conference on Systems, Man, and Cybernetics, pp.728-733, 2009.

Y. Charlon, W. Bourennane, and . Campo-e, Mise en oeuvre d'une plateforme de suivi de l'actimétrie associée à un système d'identification, Symposium Mobilité et, 2011.

G. Yongli, . Yin-os, and . Han-py, State of the art: a study on fall detection, Man Cybern B Cybern, vol.42, pp.729-739, 2012.

. Lombardi-a, M. Ferri, G. Rescio, M. Grassi, and P. Malcovati, Wearable wireless accelerometer with embedded fall-detection logic for multisensor ambient assisted living applications, IEEE Sensors, pp.1967-1970, 2009.

. Buzan-d, S. Sclaroff, and G. Kollios, Extraction and clustering of motion trajectories in video, th International Conference on Pattern Recognition, vol.17, pp.521-524, 2004.

. Zhang-z, . Huang-k, and . Tan-t, Comparison of similarity measures for trajectory clustering in outdoor surveillance scenes, 18 th International Conference on Pattern Recognition, vol.3, pp.1135-1138, 2006.

. Noury-n, . Fleury-a, P. Rumeau, A. Bourke, . Loighin-go et al., Fall detection. Principles and Methods. 29 th International Conference of the IEEE EMBS, 2007.