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Investigating association between musical features and emotion through EEG signal analysis
Rengers, J.J. (2020) Investigating association between musical features and emotion through EEG signal analysis.
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| Abstract: | This study wishes to find an association between auditory features in music and physiological reactions measured with EEG in order to develop more accurate HCI models that can recognise human emotion. The study first investigates which auditory features are most likely to influence human emotion and use these auditory features to find a relation between auditory features and physiological response. The analysis shows a relation between the amount of energy in the higher frequencies of music with activity in the right frontal lobe of the brain. Music in major mode also shows to induce more activity in the right frontal lobe. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/82075 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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