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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          | Published in | Advances in Intelligent Data Analysis XI pp. 392 - 403 | 
|---|---|
| Main Authors | , , , | 
| Format | Book Chapter | 
| Language | English | 
| Published | 
        Berlin, Heidelberg
          Springer Berlin Heidelberg
    
        2012
     | 
| Series | Lecture Notes in Computer Science | 
| Subjects | |
| Online Access | Get full text | 
| ISBN | 9783642341557 3642341551  | 
| ISSN | 0302-9743 1611-3349  | 
| DOI | 10.1007/978-3-642-34156-4_36 | 
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| 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. | 
    
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| AbstractList | 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. | 
    
| Author | Waris, Mikko Paalasmaa, Joonas Toivonen, Hannu Tulilaulu, Aurora  | 
    
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| Copyright | Springer-Verlag Berlin Heidelberg 2012 | 
    
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| DOI | 10.1007/978-3-642-34156-4_36 | 
    
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| Discipline | Mathematics Computer Science  | 
    
| EISBN | 9783642341564 364234156X  | 
    
| EISSN | 1611-3349 | 
    
| Editor | Hollmén, Jaakko Klawonn, Frank Tucker, Allan  | 
    
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| Title | Sleep Musicalization: Automatic Music Composition from Sleep Measurements | 
    
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