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}
}