Identification of lifestyle behavior patterns with prediction of the happiness of an inhabitant in a smart home

AAAI Workshop - Technical Report

Volumn WS-06-04, Issue , 2006, Pages 23-29

  Jakkula, Vikramaditya R ^a   Youngblood, G Michael ^a   Cook, Diane J ^a  

^a The University of Texas at Arlington   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ELDERLY AGE GROUP; LIFESTYLE BEHAVIOR PATTERNS; MAVHOME PROJECT; REMOTE MONITORING;

CONDITION MONITORING; IMAGE SENSORS; INTELLIGENT BUILDINGS; LEARNING SYSTEMS; REMOTE SENSING;

ARTIFICIAL INTELLIGENCE;

EID: 33846004478     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Tracy Barger, Donald Brown, Majd Alwan. 2003. Health Status Monitoring Through Analysis of Behavioral Patterns. Lecture Notes in Artificial Intelligence (LNCS/LNAI).
2. Garratt, Schmidt, Mackintosh, Fitzpatrick. 2002. Quality of life measurement: bibliographic study of patient assessed health outcome measures. British Medical Journal. 324-1417.
3. The Population Institute. 2003. Vol 5 Iss 2. http://www.population2005. org
4. Michael O. Leavitt, Mark B. McClellan, Leslie V.Norwalk, John Dyer, Timothy P. Love, William D. Saunders, Eric M. Katz, Susan Anderson, George D. Lintzeris. 2005 CMS Statistics - A Survey. 2005. U.S. Department of Health and Human Services.
5. T.K. Hareven. Historical Perspectives on Aging and Family Relations. 2001. Handbook of Aging and the Social Sciences. 5th Edition. 141-159.
6. M.E. Pollack, L. Brown, D. Colbry, C.E. McCarthy, C. Orosz, B. Peintner, S. Ramakrishnan, I. Tsamardinos. Autominder. An Intelligent Cognitive Orthotic System for People with Memory Impairment. 2003. Robotics and Autonomous Systems. 273-282.
7. Martha E. Pollack. Planning Technology for Intelligent Cognitive Orthnotics. 2002. Sixth International Conference on AI Planning and Scheduling. 322-331.
8. Martha E. Pollack. Intelligent Technology for an Aging Population. The use of AI to assist Elders with Cognitive Impairment 2005. AI Magazine summer issue. 26(2): 924. AAAI Press.
9. MetLife. 2005. The MetLife Market Survey of Nursing Home & Home Care Costs.
10. D.J. Cook, M. Youngblood, E. Heierman, K. Gopalratnam, S. Rao, A. Litvin, F. Khawaja. MavHome: An Agent-Based Smart Home. 2003. Proceedings of the IEEE International Conference on Pervasive Computing and Communications. 521-524.
11. G. Michael Youngblood, Lawrence B. Holder, and Diane J. Cook. Managing Adaptive Versatile Environments. Proceedings of the IEEE International Conference on Pervasive Computing and Communications (PerCom), March 2005.
12. G. Michael Youngblood. 2006. http://mavhome.uta.edu/argus.
13. SF-36 Health Survey. 1996. http://www.sf6.org/tools/sf36.shtml.
14. Aha D Kibler. 1991. Instance-based learning algorithms, Machine Learning, vol.6. 37-66.
15. Ian H. Witten, Eibe Frank. 2005. Data Mining: Practical Machine Learning Tools and Techniques, 2nd Edition. Morgan Kaufmann, San Francisco.
16. G. Michael Youngblood. 2006 Mavpad Inhabitant Trial Datasets. The MavHome project. Computer science and engineering department. The University of Texas at Arlington, http://mavhome.uta.edu.