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WeHeart: A Personalized Recommendation Device for Physical Activity Encouragement and Preventing “Cold Start” in Cardiac Rehabilitation

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Human-Computer Interaction – INTERACT 2023 (INTERACT 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14144))

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Abstract

This paper highlights the importance of physical activity in cardiac rehabilitation as a means of reducing morbidity and mortality rates associated with cardiovascular disease. However, forming physical activity habits is a challenge, and the approach varies depending on individual preferences. We introduce WeHeart, a personalized recommendation device that aims to gradually increase physical activity levels and avoid a “cold start”. WeHeart employs a Random Forest classification model that combines both measured and self-reported data to provide personalized recommendations. The system also uses Explainable AI to improve transparency and foster trust. Our study showcases the potential of Machine Learning in providing personalized recommendations for physical activity, and we propose a reinforcement learning approach to improve the system’s personalization over time. Overall, this study demonstrates the potential of WeHeart in encouraging physical activity and preventing “cold start” in cardiac rehabilitation.

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Authors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, Netherlands

    Rosa van Tuijn, Tianqin Lu, Emma Driesse, Koen Franken, Pratik Gajane & Emilia Barakova

Authors
  1. Rosa van Tuijn
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  2. Tianqin Lu
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  3. Emma Driesse
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  4. Koen Franken
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  5. Pratik Gajane
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  6. Emilia Barakova
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Corresponding author

Correspondence to Rosa van Tuijn .

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Editors and Affiliations

  1. University of West London, London, UK

    José Abdelnour Nocera

  2. Reykjavik University, Reykjavik, Iceland

    Marta Kristín Lárusdóttir

  3. University of York, York, UK

    Helen Petrie

  4. University of Bari Aldo Moro, Bari, Italy

    Antonio Piccinno

  5. Université Côte d’Azur, Sophia Antipolis Cedex, France

    Marco Winckler

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van Tuijn, R., Lu, T., Driesse, E., Franken, K., Gajane, P., Barakova, E. (2023). WeHeart: A Personalized Recommendation Device for Physical Activity Encouragement and Preventing “Cold Start” in Cardiac Rehabilitation. In: Abdelnour Nocera, J., Kristín Lárusdóttir, M., Petrie, H., Piccinno, A., Winckler, M. (eds) Human-Computer Interaction – INTERACT 2023. INTERACT 2023. Lecture Notes in Computer Science, vol 14144. Springer, Cham. https://doi.org/10.1007/978-3-031-42286-7_11

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  • DOI: https://doi.org/10.1007/978-3-031-42286-7_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-42285-0

  • Online ISBN: 978-3-031-42286-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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