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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References
Paalasmaa, J., Leppakorpi, L., Partinen, M.: Quantifying respiratory variation with force sensor measurements. In: 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2011, pp. 3812–3815 (2011)
Paalasmaa, J., Waris, M., Toivonen, H., Leppakorpi, L., Partinen, M.: Unobtrusive Online Monitoring of Sleep at Home. In: 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012, pp. 3784–3788 (2012)
Iber, C., Ancoli-Israel, S., Chesson, A., Quan, S.F.: The AASM manual for the scoring of sleep and associated events: rules, terminology and technical specifications. American Academy of Sleep Medicine (2007)
Morgenthaler, T., Alessi, C., Friedman, L., Owens, J., Kapur, V., Boehlecke, B., Brown, T., Chesson Jr., A., Coleman, J., Lee-Chiong, T., Pancer, J., Swick, T.: Practice parameters for the use of actigraphy in the assessment of sleep and sleep disorders: An update for 2007. Sleep 30(4), 519–529 (2007)
Shambroom, J.R., Fabregas, S.E., Johnstone, J.: Validation of an automated wireless system to monitor sleep in healthy adults. Journal of Sleep Research 21(2), 221–230 (2012)
Kramer, G., Walker, B.N.: Sound science: Marking ten international conferences on auditory display. ACM Transactions on Applied Perception (TAP) 2(4), 383–388 (2005)
Henry, T.K.: Invention locates hurt brain cells. New York Times 21 (March 2, 1943)
Knapp, R.B., Lusted, H.S.: A bioelectric controller for computer music applications. Computer Music Journal 14(1), 42–47 (1990)
Mann, S., Fung, J., Garten, A.: DECONcert: bathing in the light, sound, and waters of the musical brainbaths. In: ICMC 2007: International Computer Music Conference (2007)
Le Groux, S., Manzolli, J., Verschure, P.F.M.J.: Disembodied and collaborative musical interaction in the multimodal brain orchestra. In: NIME 2010: Proceedings of the International Conference on New Interfaces for Musical Expression, pp. 309–314 (2010)
Kirchmeyer, H.: On the historical constitution of a rationalistic music. Die Reihe 8, 11–24 (1968)
Roads, C.: The computer music tutorial. The MIT Press (1996)
Muscutt, K.: Composing with algorithms: An interview with David Cope. Computer Music Journal 31(3), 10–22 (2007)
King, R.D., Angus, C.G.: PM – protein music. Bioinformatics 12(3), 251–252 (1996)
Pinheiro, E., Postolache, O., Girao, P.: Theory and developments in an unobtrusive cardiovascular system representation: Ballistocardiography. Open Biomedical Engineering Journal 4, 201–216 (2010)
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Tulilaulu, A., Paalasmaa, J., Waris, M., Toivonen, H. (2012). Sleep Musicalization: Automatic Music Composition from Sleep Measurements. In: Hollmén, J., Klawonn, F., Tucker, A. (eds) Advances in Intelligent Data Analysis XI. IDA 2012. Lecture Notes in Computer Science, vol 7619. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34156-4_36
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DOI: https://doi.org/10.1007/978-3-642-34156-4_36
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