Estimation of emotion by electroencephalography for music therapy

Kensyo Kinugasa, Hiroki Yoshimura, Maiya Hori, Satoru Kishida, Yoshio Iwai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

A system for providing music employing electroencephalography for music therapy is described. Music therapy for the treatment of patients suffering mental illness has been attempted over a period of 20 years. To reduce stress, it is preferable to listen to music that matches a person's emotions. However, it is difficult to know exactly the person's emotion. It is necessary to calibrate the proposed system employing electroencephalography to emotions. We discuss a method of calibration especially used in canonical correlation analysis. Experimental results show that it is possible to roughly estimate feelings. We consider that it is possible to use our system in practice.

Original languageEnglish
Title of host publicationHuman-Computer Interaction
Subtitle of host publicationAdvanced Interaction Modalities and Techniques - 16th International Conference, HCI International 2014, Proceedings
PublisherSpringer Verlag
Pages750-757
Number of pages8
EditionPART 2
ISBN (Print)9783319072296
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event16th International Conference on Human-Computer Interaction: Advanced Interaction Modalities and Techniques, HCI International 2014 - Heraklion, Crete, Greece
Duration: Jun 22 2014Jun 27 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume8511 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other16th International Conference on Human-Computer Interaction: Advanced Interaction Modalities and Techniques, HCI International 2014
Country/TerritoryGreece
CityHeraklion, Crete
Period6/22/146/27/14

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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