Creating Biosignal Algorithms for Musical Applications from an Extensive Physiological Database

Javier Jaimovich, and R. Benjamin Knapp

Proceedings of the International Conference on New Interfaces for Musical Expression

Abstract:

Previously the design of algorithms and parameter calibration for biosignal music performances has been based on testing with a small number of individuals --- in fact usually the performer themselves. This paper uses the data collected from over 4000 people to begin to create a truly robust set of algorithms for heart rate and electrodermal activity measures, as well as the understanding of how the calibration of these vary by individual.

Citation:

Javier Jaimovich, and R. Benjamin Knapp. 2015. Creating Biosignal Algorithms for Musical Applications from an Extensive Physiological Database. Proceedings of the International Conference on New Interfaces for Musical Expression. DOI: 10.5281/zenodo.1179096

BibTeX Entry:

  @inproceedings{jjaimovich2015,
 abstract = {Previously the design of algorithms and parameter calibration for biosignal music performances has been based on testing with a small number of individuals --- in fact usually the performer themselves. This paper uses the data collected from over 4000 people to begin to create a truly robust set of algorithms for heart rate and electrodermal activity measures, as well as the understanding of how the calibration of these vary by individual.},
 address = {Baton Rouge, Louisiana, USA},
 author = {Javier Jaimovich and {R. Benjamin} Knapp},
 booktitle = {Proceedings of the International Conference on New Interfaces for Musical Expression},
 doi = {10.5281/zenodo.1179096},
 editor = {Edgar Berdahl and Jesse Allison},
 issn = {2220-4806},
 month = {May},
 pages = {1--4},
 publisher = {Louisiana State University},
 title = {Creating Biosignal Algorithms for Musical Applications from an Extensive Physiological Database},
 url = {http://www.nime.org/proceedings/2015/nime2015_163.pdf},
 year = {2015}
}