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How Do Emotions Induce Dominant Learners’ Mental States Predicted from Their Brainwaves?

  • Alicia Heraz
  • Claude Frasson
Part of the Communications in Computer and Information Science book series (CCIS, volume 67)

Abstract

In this paper we discuss how learner’s electrical brain activity can be influenced by emotional stimuli. We conducted an experiment in which we exposed 17 learners to a set of pictures from the International Affective Picture System (IAPS) while their electrical brain activity was recorded. We got 33.106 recordings. In an exploratory study we examined the influence of 24 picture categories from the IAPS on the amplitude variations of the 4 brainwaves frequency bands: (, (, ( and (. We used machine learning techniques to track the amplitudes in order to predict the dominant frequency band which inform about the learner mental and emotional states. Correlation and regression analyses show a significant impact of the emotional stimuli on the amplitudes of the brainwave frequency bands. Standard classification techniques were used to assess the reliability of the automatic prediction of the dominant frequency band. The reached accuracy was 90%.

Keywords

Electrical Brain Activity Machine Learning Techniques Learner Brainwaves Model 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Alicia Heraz
    • 1
  • Claude Frasson
    • 1
  1. 1.HERON LabUniversity of MontrealMontrealCanada

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