A survey of algorithmic methods for partially observed Markov decision processes
Annals of Operations Research
A formal theory of plan recognition and its implementation
Reasoning about plans
A Bayesian model of plan recognition
Artificial Intelligence
Bayesian Models for Keyhole Plan Recognition in an Adventure Game
User Modeling and User-Adapted Interaction
Techniques for Plan Recognition
User Modeling and User-Adapted Interaction
A Generic Formal Plan Recognition Theory
ICIIS '99 Proceedings of the 1999 International Conference on Information Intelligence and Systems
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
A model of plan inference that distinguishes between the beliefs of actors and observers
ACL '86 Proceedings of the 24th annual meeting on Association for Computational Linguistics
A KEYHOLE PLAN RECOGNITION MODEL FOR ALZHEIMER'S PATIENTS: FIRST RESULTS
Applied Artificial Intelligence
Learning and inferring transportation routines
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
A decision-theoretic approach to task assistance for persons with dementia
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Context aware life pattern prediction using fuzzy-state Q-learning
ICOST'07 Proceedings of the 5th international conference on Smart homes and health telematics
Sensor based micro context for mild dementia assistance
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
Multi-modal sensing smart spaces embedded with WSN based image camera
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
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This paper outlines an approach that we are taking for elder-care applications in the smart home, involving cognitive errors and their compensation. Our approach involves high level modeling of daily activities of the elderly by breaking down these activities into smaller units, which can then be automatically recognized at a low level by collections of sensors placed in the homes of the elderly. This separation allows us to employ plan recognition algorithms and systems at a high level, while developing stand-alone activity recognition algorithms and systems at a low level. It also allows the mixing and matching of multi-modality sensors of various kinds that go to support the same high level requirement. Currently our plan recognition algorithms are still at a conceptual stage, whereas a number of low level activity recognition algorithms and systems have been developed. Herein we present our model for plan recognition, providing a brief survey of the background literature. We also present some concrete results that we have achieved for activity recognition, emphasizing how these results are incorporated into the overall plan recognition system.