• DocumentCode
    2009459
  • Title

    Analysis of music appreciation by Kansei evaluation and brain activity

  • Author

    Kakegawa, M. ; Komiyama, Ryoichi ; Masakura, Y. ; Kikuchi, Masashi

  • Author_Institution
    Tokyo Univ. of Technol., Tokyo, Japan
  • fYear
    2012
  • fDate
    20-24 Nov. 2012
  • Firstpage
    183
  • Lastpage
    186
  • Abstract
    Music has an effect altering the feeling of the listener. Currently, several researches challenged to manifest the effect of music on the listeners. Previous study revealed that frontal lobe plays an important role for music appreciation. Based on this finding, this study attempted to classify genre (category) of music pieces and knowingness/unknowingness of them based on Kansei evaluation and brain activity of frontal lobe obtained from NIRS. Furthermore, we attempted to explain impression of music from brain activity. As a result, discrimination rate about knowingness of music achieved 87%. In genre discrimination, the discrimination rate became high if data for discrimination were restricted to known music. We can conclude that it is possible to infer subject´s knowingness about music and genre of music from cerebral blood data.
  • Keywords
    music; pattern classification; Kansei evaluation; NIRS; brain activity; category classification; cerebral blood data; frontal lobe; genre classification; genre discrimination; music appreciation analysis; music pieces; Brain Computer Interface (BCI); Music; Near-Infra- Red Spectroscopy (NIRS); Semantic Differential method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on
  • Conference_Location
    Kobe
  • Print_ISBN
    978-1-4673-2742-8
  • Type

    conf

  • DOI
    10.1109/SCIS-ISIS.2012.6505407
  • Filename
    6505407