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

Tsolakou, E., Leonidis, A., Kouroumalis, V., Korozi, M., Antona, M., & Stephanidis, C. (2020, April) (2020) HypnOS: A Sleep Monitoring and Recommendation System to Improve Sleep Hygiene in Intelligent Homes HypnOS: A Sleep Monitoring and Recommendation System to Improve Sleep Hygiene in Intelligent Homes. In International Conference on Human Interaction and Emerging Technologies (pp. 433-439). Springer, Cham.

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.

CaLmi: Stress Management in Intelligent Homes

Eirini Sykianaki, Asterios Leonidis, Margherita Antona and Constantine Stephanidis (2019) CaLmi: Stress Management in Intelligent Homes In Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2019 International Symposium on Wearable Computers Proceedings (UbiComp/ISWC'19). ACM, London, UK, 4 pages.

Abstract

In today's fast-paced and demanding society, more and more people are suffering from stress-related problems; however, intelligent environments can be equipped with facilities that assist in keeping it under control. This paper presents CaLmi, a system for Intelligent Homes that aims to reduce the stress of its residents by: (a) monitoring its level through a combination of biometric measurements from a wearable device along with information about user's everyday life and (b) enabling the ubiquitous presentation of relaxation programs, which deliver multi-sensory, context-aware, personalized interventions.