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Music-Induced Emotion Classification from the Prefrontal Hemodynamics

  • Pallabi Samanta
  • Diptendu Bhattacharya
  • Amiyangshu De
  • Lidia GhoshEmail author
  • Amit Konar
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10597)

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.

Keywords

Emotion classification Functional near-infrared spectroscopy Interval type-2 fuzzy set classifier Evolution algorithm 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Electronics and Tele-communication EngineeringJadavpur UniversityKolkataIndia
  2. 2.Computer Science and EngineeringNational Institute of Technology AgartalaAgartalaIndia

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