Creating Biosignal Algorithms for Musical Applications from an Extensive Physiological Database

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Date
2015
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Volume Title
Publisher
NIME
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.

Description
Keywords
Biosignals, EDA, HR, feature extraction, database, physiological signals, EDAtool, HRtool
Citation