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Exploring the correlation between the type of music and the emotions evoked: A study using subjective questionnaires and EEG
Gdańsk University of Technology (GUT), Gdańsk, Poland.
Gdańsk University of Technology (GUT), Gdańsk, Poland.
Halmstad University, School of Information Technology, Center for Applied Intelligent Systems Research (CAISR).ORCID iD: 0000-0002-1400-346X
Halmstad University, School of Information Technology, Center for Applied Intelligent Systems Research (CAISR).ORCID iD: 0000-0002-2851-4260
2026 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The subject of this work is to check how different types of music affect human emotions. While listening to music, a subjective survey and brain activity measurements were carried out using an EEG helmet. The aim is to demonstrate the impact of different music genres on emotions. The research involved a diverse group of participants of different gender and musical preferences. This had the effect of capturing a wide range of emotional responses to music. After the experiment, a relationship analysis of the respondents' questionnaires with EEG signals was performed. The analysis revealed connections between emotions and observed brain activity.

Place, publisher, year, edition, pages
2026. p. 1-12
Keywords [en]
Music and Emotion, EEG-Based Emotion Recognition, Brain-Computer Interface (BCI)
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-57694DOI: 10.1007/978-3-032-11358-0_33OAI: oai:DiVA.org:hh-57694DiVA, id: diva2:2010273
Conference
IX International Congress on Artificial Intelligence and Pattern Recognition IWAIPR 2025
Funder
Swedish Research CouncilAvailable from: 2025-10-30 Created: 2025-10-30 Last updated: 2026-03-23

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Alonso-Fernandez, FernandoTiwari, Prayag

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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