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20460 Ontology-Based Generation of Dynamic Feedback on Physical Activity
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Wieringa, W.K. and op den Akker, H. and Jones, V.M. and op den Akker, H.J.A. and Hermens, H.J. (2011) Ontology-Based Generation of Dynamic Feedback on Physical Activity. In: 13th International Conference on Artificial Intelligence in Medicine, AIME 2011, 2-6 Jul 2011, Bled, Slovenia. pp. 55-59. Lecture Notes in Artificial Intelligence 6747. Springer Verlag. ISSN 0302-9743 ISBN 978-3-642-22217-7

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This article describes a new, AI-inspired telemedicine system for providing feedback on daily activity. Optimising daily levels of physical activity is an important focus in the treatment of chronic illnesses. An ambulatory monitoring and feedback system has been developed to monitor activity and provide feedback to help patients reach a healthy daily pattern. The system has shown positive effects in trials on different patient groups including COPD and obese patients. We describe the design and implementation of an intelligent feedback generation module that improves interaction with the patient by providing personalised dynamic context-aware feedback. An ontology of messages was designed, which the system uses to find appropriate feedback using context information to prune irrelevant paths. The system adapts based on derived probabilities concerning user preferences to certain message types. We aim to improve patient compliance to individual feedback messages and improve the user experience, leading to better overall treatment compliance.

Item Type:Conference or Workshop Paper (Full Paper, Talk, Poster)
Research Group:EWI-BSS: Biomedical Signals and Systems, EWI-HMI: Human Media Interaction
Research Program:CTIT-ASSIST: Applied Science of Services for Information Society Technologies, CTIT-NICE: Natural Interaction in Computer-mediated Environments
Research Project:IS-ACTIVE: Inertial Sensing Systems for Advanced Chronic Condition Monitoring and Risk Prevention, SMARCOS: Smart Composite Human-Computer Interfaces
Uncontrolled Keywords:Activity Monitoring, Ontologies, Feedback
ID Code:20460
Deposited On:07 September 2011
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