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HypnOS: A Sleep Monitoring and Recommendation System to Improve Sleep Hygiene in Intelligent Homes

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Human Interaction, Emerging Technologies and Future Applications II (IHIET 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1152))

Abstract

Sleep is important for many vital functions. Unfortunately, many people suffer from sleep-related problems, which have negative consequences on sleep quality and therefore on quality of life. Considering the important health benefits of a good night’s sleep, it is crucial to investigate technological solutions that promote and improve sleep hygiene. To that end, the HypnOS framework for “Intelligent Homes” is introduced, aiming to improve the sleep quality of home residents by monitoring their sleep and providing personalized recommendations to overcome sleep-related issues. It describes the design process that was followed, presents its functionality, reports the findings of an expert-based evaluation of the HypnOS mobile app and discusses future plans.

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Acknowledgments

This work is supported by the ICS-FORTH AmI Programme.

Author information

Authors and Affiliations

  1. Institute of Computer Science (ICS), Foundation for Research and Technology-Hellas (FORTH), Heraklion, Crete, Greece

    Eleni Tsolakou, Asterios Leonidis, Vasilios Kouroumalis, Maria Korozi, Margherita Antona & Constantine Stephanidis

  2. Department of Computer Science, University of Crete, Heraklion, Crete, Greece

    Constantine Stephanidis

Authors
  1. Eleni Tsolakou
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  2. Asterios Leonidis
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  3. Vasilios Kouroumalis
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  4. Maria Korozi
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  5. Margherita Antona
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  6. Constantine Stephanidis
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Corresponding author

Correspondence to Asterios Leonidis .

Editor information

Editors and Affiliations

  1. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Ahram

  2. Campus du Moulin de la Housse, Université de Reims Champagne Ardenne GRESPI, Reims Cedex, France

    Redha Taiar

  3. Département de l’appareil locomoteur, Champ de l’Air, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland

    Vincent Gremeaux-Bader

  4. Laboratory of Movement Analysis and Measurement, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

    Kamiar Aminian

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Tsolakou, E., Leonidis, A., Kouroumalis, V., Korozi, M., Antona, M., Stephanidis, C. (2020). HypnOS: A Sleep Monitoring and Recommendation System to Improve Sleep Hygiene in Intelligent Homes. In: Ahram, T., Taiar, R., Gremeaux-Bader, V., Aminian, K. (eds) Human Interaction, Emerging Technologies and Future Applications II. IHIET 2020. Advances in Intelligent Systems and Computing, vol 1152. Springer, Cham. https://doi.org/10.1007/978-3-030-44267-5_65

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  • DOI: https://doi.org/10.1007/978-3-030-44267-5_65

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-44266-8

  • Online ISBN: 978-3-030-44267-5

  • eBook Packages: EngineeringEngineering (R0)

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