DocumentCode :
3703368
Title :
Exploring the causal relationships between musical features and physiological indicators of emotion
Author :
Wei Huang;Brennon Bortz;R. Benjamin Knapp
Author_Institution :
Department of Computer Science, Virginia Polytechnic Institute and State University Blacksburg, Virginia 24061
fYear :
2015
Firstpage :
560
Lastpage :
566
Abstract :
The relationship between music and physiological indicators of emotion has attracted increased attention in the past two decades. However, the limitations of small sample sizes and the difficulty in designing ecological studies involving physiology and emotion make it hard to gain convincing and practical insight into the mechanisms behind them. In this paper, we propose a novel combination of spectral clustering and cross-correlation analysis that can group people who have similar response patterns to music, and show a causal relationship between changes in music and a human´s electrodermal activity (EDA). We present some interesting findings on population differences in sensitivity to musical features and in emotional reactions by analyzing 344 valid listening samples of three classical pieces.
Keywords :
"Physiology","Time series analysis","Rhythm","Yttrium","Feature extraction","Sensitivity","Estimation"
Publisher :
ieee
Conference_Titel :
Affective Computing and Intelligent Interaction (ACII), 2015 International Conference on
Electronic_ISBN :
2156-8111
Type :
conf
DOI :
10.1109/ACII.2015.7344625
Filename :
7344625
Link To Document :
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