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

International Journal of Advanced Robotic Systems

关键词: Brain-Computer Interface;    Emotion Recognition;    Facial Expression;    Games;   

DOI  :  10.5772/55665

学科分类：自动化工程

来源: InTech

【 摘 要 】

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...

【 授权许可】

CC BY