Abstract
Improving physical activity patterns is an important focus in the treatment of chronic illnesses. We describe a system to monitor activity and provide feedback to help patients reach a healthy daily pattern. The system has shown positive effects in trials on patient groups including COPD and obese patients. We describe the design and implementation of a new feedback generation module which improves interaction with the patient by providing personalised dynamic context-aware feedback. The system uses an ontology of messages to find appropriate feedback using context information to prune irrelevant paths. The system adapts using derived probabilities about user preferences for certain message types. We aim to improve patient compliance and user experience.
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Wieringa, W., op den Akker, H., Jones, V.M., op den Akker, R., Hermens, H.J. (2011). Ontology-Based Generation of Dynamic Feedback on Physical Activity. In: Peleg, M., Lavrač, N., Combi, C. (eds) Artificial Intelligence in Medicine. AIME 2011. Lecture Notes in Computer Science(), vol 6747. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22218-4_7
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DOI: https://doi.org/10.1007/978-3-642-22218-4_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22217-7
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