Personality Trait and Facial Expression Filter-Based Brain-Computer Interface. (20th February 2013)

• Record Type: Journal Article
• Authors: Chin, Seongah; Lee, Chung-Yeon
• Is Part Of: International journal of advanced robotic systems. Volume 10:Number 2(2013)
• Publication Date: 2013-02-20
• Subjects: Brain-Computer Interface -- Emotion Recognition -- Facial Expression -- Games; Robotics -- Periodicals; Robotics; Periodicals; 629.892
• DOI: 10.5772/55665
• Languages: English
• ISSNs: 1729-8806

Abstract

In this paper, we present technical approaches that bridge the gap in the research related to the use of brain-computer interfaces for entertainment and facial expressions. Such facial expressions that reflect an individual's personal traits can be used to better realize artificial facial expressions in a gaming environment based on a brain-computer interface. First, an emotion extraction filter is introduced in order to classify emotions on the basis of the users' brain signals in real time. Next, a personality trait filter is defined to classify extrovert and introvert types, which manifest as five traits: very extrovert, extrovert, medium, introvert and very introvert. In addition, facial expressions derived from expression rates are obtained by an extrovert-introvert fuzzy model through its defuzzification process. Finally, we confirm this validation via an analysis of the variance of the personality trait filter, a k-fold cross validation of the emotion extraction filter, an accuracy analysis, a user study of facial synthesis and a test case game.