Sleep Musicalization : Automatic Music Composition from Sleep Measurements

@inproceedings{HollmnSleepM,
  title={Sleep Musicalization : Automatic Music Composition from Sleep Measurements},
  author={Jaakko Hollm{\'e}n and Frank Klawonn and Tucker}
}
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… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 15 references

The Computer Music Tutorial

View 4 Excerpts
Highly Influenced

Unobtrusive online monitoring of sleep at home

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society • 2012
View 2 Excerpts

Quantifying respiratory variation with force sensor measurements

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society • 2011
View 2 Excerpts

Composing with Algorithms: An Interview with David Cope

Computer Music Journal • 2007
View 2 Excerpts

The AASM manual for the scoring of sleep and associated events: rules, terminology and technical specifications

C. Iber, S. Ancoli-Israel, A. Chesson, S. F. Quan
American Academy of Sleep Medicine • 2007
View 1 Excerpt

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