Ontology-Based Generation of Dynamic Feedback on Physical Activity

Wilko Wieringa, Harm op den Akker, Valerie M. Jones, Hermanus J. Hermens, Hendrikus J.A. op den Akker

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review


    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.
    Original languageUndefined
    Title of host publication13th International Conference on Artificial Intelligence in Medicine, AIME 2011
    Place of PublicationLondon
    Number of pages5
    ISBN (Print)978-3-642-22217-7
    Publication statusPublished - 3 Jul 2011
    Event13th Conference on Artificial Intelligence in Medicine, AIME 2011 - Bled, Slovenia
    Duration: 2 Jul 20116 Jul 2011
    Conference number: 13

    Publication series

    NameLecture Notes in Artificial Intelligence
    PublisherSpringer Verlag
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    Conference13th Conference on Artificial Intelligence in Medicine, AIME 2011
    Abbreviated titleAIME


    • METIS-278770
    • IR-77994
    • EWI-20460
    • Ontologies
    • Feedback
    • Activity Monitoring

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