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Cultural Differences and Similarities in Emotion Recognition
Author(s) -
Vladimir Kurbalija,
Mirjana Ivanović,
Miloš Radovanović,
Zoltan Geler,
Dejan Mitrović,
Weihui Dai,
Weidong Zhao
Publication year - 2015
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/2801081.2801093
Subject(s) - electroencephalography , perception , emotion recognition , computer science , cognitive psychology , emotion classification , cognition , representation (politics) , emotion perception , psychology , speech recognition , neuroscience , psychiatry , politics , political science , law
The electroencephalogram (EEG) is a powerful method for investigation of different cognitive processes. Recently, EEG analysis became very popular and important, where classification of these signals stands out as one of the mostly used methodologies. Emotion recognition is one of the most challenging tasks in EEG analysis since not much is known about representation of different emotion in EEG signals. In addition, inducing of desired emotion is by itself difficult, since various individuals react differently to external stimuli (audio, video, etc.) In this paper, we will examine the similarities in emotion perception of different individuals on the basis of audio stimuli. Since some of the participants in the experiment did not understand the language of the stimuli, we will also investigate the impact of language understanding on emotion perception. This study presents some preliminary results of more complex experiments in the area of affective computing that are planned.

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