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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Sleep Musicalization: Automatic Music Composition from Sleep Measurements
verfasst von : Aurora Tulilaulu, Joonas Paalasmaa, Mikko Waris, Hannu Toivonen
Erschienen in: Advances in Intelligent Data Analysis XI
Verlag: Springer Berlin Heidelberg
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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.