Personality Trait and Facial Expression Filter-Based Brain-Computer Interface

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 expre...

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Main Authors: Seongah Chin, Chung-Yeon Lee
Format: Article
Language:English
Published: SAGE Publishing 2013-02-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.5772/55665
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author Seongah Chin
Chung-Yeon Lee
author_facet Seongah Chin
Chung-Yeon Lee
author_sort Seongah Chin
collection DOAJ
description 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.
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spelling doaj.art-fdacc6fa63fd4689a68e6fb7aca29eaf2022-12-21T20:16:40ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142013-02-011010.5772/5566510.5772_55665Personality Trait and Facial Expression Filter-Based Brain-Computer InterfaceSeongah Chin0Chung-Yeon Lee1 Sungkyul University, Anyang, South Korea Seoul National University, Seoul, South KoreaIn 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.https://doi.org/10.5772/55665
spellingShingle Seongah Chin
Chung-Yeon Lee
Personality Trait and Facial Expression Filter-Based Brain-Computer Interface
International Journal of Advanced Robotic Systems
title Personality Trait and Facial Expression Filter-Based Brain-Computer Interface
title_full Personality Trait and Facial Expression Filter-Based Brain-Computer Interface
title_fullStr Personality Trait and Facial Expression Filter-Based Brain-Computer Interface
title_full_unstemmed Personality Trait and Facial Expression Filter-Based Brain-Computer Interface
title_short Personality Trait and Facial Expression Filter-Based Brain-Computer Interface
title_sort personality trait and facial expression filter based brain computer interface
url https://doi.org/10.5772/55665
work_keys_str_mv AT seongahchin personalitytraitandfacialexpressionfilterbasedbraincomputerinterface
AT chungyeonlee personalitytraitandfacialexpressionfilterbasedbraincomputerinterface