Personal Recommendation System for Improving Sleep Quality

  • Patrick Datko
  • Wilhelm Daniel Scherz
  • Oana Ramona Velicu
  • Ralf SeepoldEmail author
  • Natividad Martínez Madrid
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 56)


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.


Obstructive Sleep Apnea Sleep Quality Sleep Duration Sleep Stage Body Sensor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Patrick Datko
    • 1
  • Wilhelm Daniel Scherz
    • 1
  • Oana Ramona Velicu
    • 1
  • Ralf Seepold
    • 1
    Email author
  • Natividad Martínez Madrid
    • 2
  1. 1.HTWG KonstanzUbiquitous Computing LabKonstanzGermany
  2. 2.Reutlingen University, Internet of Things LabReutlingenGermany

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