An activity recognition model for alzheimer’s patients: Extension of the COACH task guidance system

Frontiers in Artificial Intelligence and Applications

Volumn 178, Issue , 2008, Pages 811-812

  Bouchard, B ^a   Roy, P ^b   Bouzouane, A ^a   Giroux, S ^b   Mihailidis, A ^c  

^a UNIVERSITÉ DU QUÉBEC À CHICOUTIMI   (Canada)

^b UNIVERSITÉ DE SHERBROOKE   (Canada)

^c UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY RECOGNITION; ALZHEIMER; CLINICAL TRIAL; DESCRIPTION LOGIC; GUIDANCE SYSTEM; MODEL-BASED OPC; PLAN RECOGNITION; PROBABILISTIC DESCRIPTIONS; RECOGNITION MODELS;

DATA DESCRIPTION;

EID: 84859018798     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: 10.3233/978-1-58603-891-5-811     Document Type: Conference Paper

References (7)

1. D. Avrahami-Zilberbrand and G.A. Kaminka, ‘Hybrid symbolic-probabilistic plan recognizer: Initial steps’, in Twenty-First National Conference on Artificial Intelligence (AAAI’06), pp. 1–7, (2006).
2. The Description Logic Handbook (Second Edition), eds., Franz Baader, Diego Calvanese, Deborah L. McGuinness, Daniele Nardi, and Peter F. Patel-Schneider, Cambridge University Press, 2007.
3. B. Bouchard, A. Bouzouane, and S. Giroux, ‘A keyhole plan recognition model for Alzheimer’s patients: First results’, Applied Artificial Intelligence, Taylor & Francis publisher, 22 (7), 623–658, (2007).
4. J. Diamond, ‘Alzheimer disease and current research’, Technical report, Alzheimer Society of Canada, (October 2006).
5. Christopher Geib and Robert Goldman, ‘Partial observability and probabilistic plan/goal recognition’, in Proc. of the IJCAI-05 workshop on Modeling Others from Observations, Edinburgh, Scotland, (2005).
6. J. Heinsohn, ‘Probabilistic description logics’, in Proc. of Uncertainty in AI’94, pp. 311–318, (1994).
7. A. Mihailidis, J. Boger, M. Canido, and J. Hoey, ‘The use of an intelligent prompting system for people with dementia: A case study’, ACM Interactions, 14(4), 34–37, (2007).