Non-Linear Analysis: Music and Human Emotions

DOI

10.2991/icemaess-15.2016.172How to use a DOI?

Keywords

Music, Human Emotions, HRV, LLE

Abstract

The relationship between music and human emotions is a very interesting area. But how exactly music affects human emotions and what the valid parameters needed to classify the pattern is also an open question. In this paper, we consider the effect of four different types of music on human emotions through the nonlinear analysis of Heart rate variability (HRV). The t-test shows that the Largest lyapunov exponent (LLE) of HRV acquired from subjects with or without music stimulation is significantly different (p<0.01, Cohen’s d>0.8). More importantly, the LLE of HRV is also influenced by different types of music respectively, and then we applied LLE as the affective features to recognize the subjects’ emotional state which induced by specific types of music. An overall correct rate of 84 percent for quinary classification of amusement, excitement, sadness, fear and the baseline state by SVM classifier are obtained.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Juan He
AU  - GuangYuan Liu
AU  - WanHui Wen
AU  - Min Peng
PY  - 2015/12
DA  - 2015/12
TI  - Non-Linear Analysis: Music and Human Emotions
BT  - Proceedings of the 2015 3rd International Conference on Education, Management, Arts, Economics and Social Science
PB  - Atlantis Press
SP  - 829
EP  - 835
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemaess-15.2016.172
DO  - 10.2991/icemaess-15.2016.172
ID  - He2015/12
ER  -