Name
Title | ||
|---|---|---|
Creating biosignal algorithms for musical applications from an extensive physiological database. |
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. |
Year | Venue | Field |
|---|---|---|
2015 | NIME | Computer science,Musical,Algorithm,Feature extraction,Speech recognition,Human–computer interaction,Biosignal |
DocType | Citations | PageRank |
Conference | 1 | 0.48 |
References | Authors | |
2 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Javier Jaimovich | 1 | 26 | 5.00 |
| Benjamin Knapp | 2 | 162 | 26.80 |