• 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