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Personal recommendation system for improving sleep quality

  • Sleep is an important aspect in life of every human being. The average sleep duration for an adult is approximately 7 h per day. Sleep is necessary to regenerate physical and psychological state of a human. A bad sleep quality has a major impact on the health status and can lead to different diseases. In this paper an approach will be presented, which uses a long-term monitoring of vital data gathered by a body sensor during the day and the night supported by mobile application connected to an analyzing system, to estimate sleep quality of its user as well as give recommendations to improve it in real-time. Actimetry and historical data will be used to improve the individual recommendations, based on common techniques used in the area of machine learning and big data analysis.

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Metadaten
Name:Martínez Madrid, Natividad
DOI:https://doi.org/10.1007/978-3-319-39630-9_34
ISBN:978-3-319-39630-9
Erschienen in:Intelligent decision technologies 2016 : proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016). - part I. - (Smart innovation, systems and technologies ; 56)
Publisher:Springer
Place of publication:Cham
Editor:Ireneusz Czarnowski
Document Type:Conference Proceeding
Language:English
Year of Publication:2016
Pagenumber:8
First Page:405
Last Page:412
Catalogue entry:Im Katalog der Hochschule Reutlingen ansehen
Dewey Decimal Classification:004 Informatik
Open Access:Nein
Licence (German):License Logo  Lizenzbedingungen Springer