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    An Ambient Intelligent Framework for Residential Monitoring of Dementia Patients using Fuzzy Agents

    iUBICOM ’11: The 6th International Workshop on Ubiquitous and Collaborative Computing

    In conjunction with the 25th BCS Conference on Human Computer Interaction (HCI 2011)

    Northumbria University, Newcastle, 4 July 2011


    Faiyaz Doctor, Rahat Iqbal and Raouf N.G. Naguib


    In this paper an ambient intelligent-based framework is proposed for the monitoring of dementia patients living in their own homes. Within this framework groups of unobtrusive wireless sensor devices can be deployed at specific locations within a patient’s home and accessed via standardized interfaces provided through an open middleware platform. For each sensor group intelligent agents are used to learn fuzzy rules, which model the patient’s habitual behaviours in the environment. An online rule adaptation technique is applied to facilitate short-term tuning of the learnt behaviours, and long-term tracking of behaviour changes which could be due to the effects of cognitive decline caused from dementia. The proposed system reports behaviour changes to care providers to enable them to make better-informed assessments of the patient’s cognitive abilities and changing care needs.


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