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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
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Τσολάκου, Ελένη Π.
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Thesis advisor
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Στεφανίδης, Κωνσταντίνος
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Reviewer
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Πλεξουσάκης, Δημήτρης
Antona, Margherita
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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.
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Language |
English |
Subject |
Ambient intelligence |
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Sleep hygiene |
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Διάχυτη νοημοσύνη |
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Υγιεινή ύπνου |
Issue date |
2020-07-24 |
Collection
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School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses
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Type of Work--Post-graduate theses
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Permanent Link |
https://elocus.lib.uoc.gr//dlib/5/7/1/metadata-dlib-1593086105-22883-31198.tkl
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Views |
530 |