An activity monitoring system for real elderly at home: Validation study

Proceedings - IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2010

Volumn , Issue , 2010, Pages 278-285

  Zouba, Nadia ^a   Bremond, Francois ^a   Thonnat, Monique ^a  

^a INRIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

SECURITY SYSTEMS; VIDEO CAMERAS;

ACTIVITY MONITORING SYSTEM; BEHAVIOR ANALYSIS; BEHAVIORAL PROFILES; DAILY ACTIVITY; ENVIRONMENTAL SENSOR; HETEROGENEOUS SENSORS; QUALITY OF LIFE; VALIDATION STUDY;

MONITORING;

EID: 78449300638     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AVSS.2010.83     Document Type: Conference Paper

References (15)

1. A. Avanzi, F. Bremond, C. Tornieri, and M. Thonnat. Design and assessement of an intelligent activity monitoring platform. EURASIP Journal on Applied Signal Processing, Special Issue on "Advances in Intelligent Vision Systems: Methods and Applications", August 2005.
2. T. Barger, D. Brown, and M. Alwan. Health status monitoring through analysis of behavioral patterns. In 8th congress of the Italian Association for Artificial Intelligence (AIIA) on ambient intelligence, 2003.
3. B. Boulay, F. Bremond, and M. Thonnat. Applying 3d human model in a posture recognition system. Pattern Recognition Letter, vol.27, no.15:pp.1785-1796, 2006.
4. T. Duong, H. Bui, D. Phung, and S. Venkatesh. Activity recognition and abnormality detection with the switching hidden semi-markov model. In Proceedings of the IEEE computer society conference on computer vision and pattern recognition (CVPR), 2005.
5. K. Fishkin, M. Philipose, and A. Rea. Hands-on rfid: wireless wearables for detecting use of objects. In 9th IEEE international symposium on wearable computers (ISWC), IEEE Computer Society, 2005.
6. S. Katz. Assessing self-maintenance: Activities of daily living, mobility, and instrumental activities of daily living. Journal of the American Geriatrics Society, vol.31, no.12:pp.721-727, 1983.
7. T. Moeslund, A. Hilton, and V. Kruger. A survey of advances in vision based human motion capture and analysis. Computer Vision Image Understanding (CVIU), vol.104, no.2:pp.90-126, 2006.
8. M. Nambu, K. Nakajima, M. Noshira, and T. Tamura. An algorithm for the automatic detection of health conditions. IEEE Enginering Medicine Biology Magazine, vol.24, no.4:pp.38-42, 2005.
9. M. Ogawa, R. Suzuki, S. Otake, T. Izutsu, T. Iwaya, and T. Togawa. Long term remote behavioral monitoring of elderly by using sensors installed in ordinary houses. In IEEE Engineering in Medicine and Biology Society (EMBS) special topic conference on microtechnologies in medicine and biology, October 2002.
10. G. Provan. The validity of dempster-shafer belief functions. International Journal of Approximate Reasoning, vol.6, no.3:pp.389-399, 1992.
11. D. Tran, D. Phung, H. Bui, and S.Venkatesh. A probabilistic model with parsimonious representation for sensor fusion in recognizing activity in pervasive environment. In Proceedings of the 18th International Conference on Pattern Recognition, 2004.
12. V. Vu, F. Bremond, and M. Thonnat. Automatic video interpretation: A novel algorithm based for temporal scenario recognition. In The Eighteenth International Joint Conference on Artificial Intelligence (IJCAI), September 9-15 2003.
13. J. Wu, A. Osuntogun, T. Choudhury, M. Philipose, and J. Rehg. A scalable approach to activity recognition based on object use. In Eleventh IEEE International Conference on Computer Vision (ICCV), October 2007.
14. N. Zouba. Multisensor fusion for monitoring elderly activities at home. In PhD Thesis at Nice University, France, 2010.
15. N. Zouba, F. Bremond, M. Thonnat, A. Anfosso, E. Pascual, P. Mallea, V. Mailland, and O. Guerrin. A computer system to monitor older adults at home: Preliminary results. Gerontechnology Journal, vol.8, no.3:pp.129-139, July 2009.