Music-Induced Emotion Classification from the Prefrontal Hemodynamics View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017-11-01

AUTHORS

Pallabi Samanta , Diptendu Bhattacharya , Amiyangshu De , Lidia Ghosh , Amit Konar

ABSTRACT

Most of the traditional works on emotion recognition utilize manifestation of emotion in face, voice, gesture/posture and bio-potential signals of the subjects. However, these modalities of emotion recognition cannot totally justify its significance because of wide variations in these parameters due to habitat and culture. The paper aims at recognizing emotion of people directly from their brain response to infrared signal using music as the stimulus. A type-2 fuzzy classifier has been used to eliminate the effect of intra and inter-personal variations in the feature-space, extracted from the infrared response of the brain. A comparative analysis reveals that the proposed interval type-2 fuzzy classifier outperforms its competitors by classification accuracy as the metric. More... »

PAGES

289-295

Book

TITLE

Pattern Recognition and Machine Intelligence

ISBN

978-3-319-69899-1
978-3-319-69900-4

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-69900-4_37

DOI

http://dx.doi.org/10.1007/978-3-319-69900-4_37

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1092444288


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