Sleep Musicalization: Automatic Music Composition from Sleep Measurements

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 f...

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Bibliographic Details
Published inAdvances in Intelligent Data Analysis XI pp. 392 - 403
Main Authors Tulilaulu, Aurora, Paalasmaa, Joonas, Waris, Mikko, Toivonen, Hannu
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2012
SeriesLecture Notes in Computer Science
Subjects
Composition Algorithm
Deep Sleep
Light Sleep
Sleep Measurement
Sleep Stage
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ISBN9783642341557
3642341551
ISSN0302-9743
1611-3349
DOI10.1007/978-3-642-34156-4_36

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Summary: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.
ISBN:9783642341557
3642341551
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-642-34156-4_36