Creating Biosignal Algorithms for Musical Applications from an Extensive Physiological Database

dc.contributor.author	Jaimovich, Javier	en
dc.contributor.author	Knapp, R. Benjamin	en
dc.date.accessioned	2017-11-29T13:51:16Z	en
dc.date.available	2017-11-29T13:51:16Z	en
dc.date.issued	2015	en
dc.description.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.	en
dc.identifier.uri	http://hdl.handle.net/10919/80529	en
dc.language.iso	en_US	en
dc.publisher	NIME	en
dc.relation.ispartof	NIME 2015	en
dc.rights	In Copyright	en
dc.rights.uri	http://rightsstatements.org/vocab/InC/1.0/	en
dc.subject	Biosignals	en
dc.subject	EDA	en
dc.subject	HR	en
dc.subject	feature extraction	en
dc.subject	database	en
dc.subject	physiological signals	en
dc.subject	EDAtool	en
dc.subject	HRtool	en
dc.title	Creating Biosignal Algorithms for Musical Applications from an Extensive Physiological Database	en
dc.title.serial	Proceedings of the International Conference on New Interfaces for Musical Expression	en
dc.type	Conference proceeding	en

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