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Sleep Musicalization: Automatic Music Composition from Sleep Measurements

  • Aurora Tulilaulu
  • Joonas Paalasmaa
  • Mikko Waris
  • Hannu Toivonen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7619)

Abstract

We introduce data musicalization as a novel approach to aid analysis and understanding of sleep measurement data. Data musicalization is the process of automatically composing novel music, with given data used to guide the process. We present Sleep Musicalization, a methodology that reads a signal from state-of-the-art mattress sensor, uses highly non-trivial data analysis methods to measure sleep from the signal, and then composes music from the measurements. As a result, Sleep Musicalization produces music that reflects the user’s sleep during a night and complements visualizations of sleep measurements. The ultimate goal is to help users improve their sleep and well-being. For practical use and later evaluation of the methodology, we have built a public web service at http://sleepmusicalization.net for users of the sleep sensors.

Keywords

Sleep Stage Deep Sleep Sleep Measurement Light Sleep Composition Algorithm 
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-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Aurora Tulilaulu
    • 1
  • Joonas Paalasmaa
    • 1
    • 2
  • Mikko Waris
    • 2
  • Hannu Toivonen
    • 1
  1. 1.Department of Computer Science and HIITUniversity of HelsinkiFinland
  2. 2.Beddit.com LtdEspooFinland

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