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Identifier 000430199
Title HypnOS: a sleep monitoring and recommendation system for intelligent homes
Alternative Title HypnOS: ένα σύστημα παρακολούθησης και συμβουλευτικής ύπνου για την έξυπνη κατοικία
Author Τσολάκου, Ελένη Π.
Thesis advisor Στεφανίδης, Κωνσταντίνος
Reviewer Πλεξουσάκης, Δημήτρης
Antona, Margherita
Abstract Sleep is vital for maintaining good physical and mental health. Unfortunately, in today’s fast-paced society many people suffer from sleep-related problems, which have negative consequences on sleep quality and therefore on quality of life. Thanks to continuous technological improvements, an abundance of sophisticated sleep trackers has been created. However, a holistic approach that takes advantage of the already prominent Ambient Intelligence (AmI) technologies rather than merely relying on isolated devices, is still missing. This thesis introduces HypnOS, a system that monitors sleep in an unobtrusive way and provides personalized sleep recommendations to the residents of an Intelligent Home. Particularly, it monitors sleep patterns in order to detect possible sleep abnormalities and then provide effective guidance to avoid them in order to improve their overall sleep quality. To assess overall sleep quality and to provide personalized sleep insights, the following parameters are utilized: (a) sleep-related parameters and bio-signals obtained from a variety of wireless sleep trackers (i.e. wearable activity tracker/watch, under-themattress sleep tracker, EEG headband); (b) contextual information by exploiting the infrastructure of an Intelligent Home (e.g. stress levels); and (c) habitual information (e.g. smoking, alcohol) and subjective measurements (e.g. mood, alertness, sleepiness) by using a daily sleep diary. Additionally, HypnOS utilizes the ambient facilities (e.g. lighting system, speakers, scent diffuser) of the Intelligent Bedroom so as to enhance the environment (e.g. lights, sound, scent) and create experiences that can potentially facilitate the falling asleep and waking up processes. In more detail, it offers a smart alarm which aims to wake up users gently (e.g. using natural sounds) and a collection of relaxation programs that assist users having difficulties in falling asleep (e.g. through appropriate ambient lighting conditions). Overall, HypnOS is an unobtrusive sleep monitoring and recommendation system that not only detects sleep abnormalities, but also presents insights to the residents about the potential causes of their sleep-related issues, enabling them to act accordingly.
Language English
Subject Ambient intelligence
Sleep hygiene
Διάχυτη νοημοσύνη
Υγιεινή ύπνου
Issue date 2020-07-24
Collection   School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses
  Type of Work--Post-graduate theses
Permanent Link https://elocus.lib.uoc.gr//dlib/5/7/1/metadata-dlib-1593086105-22883-31198.tkl Bookmark and Share
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