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Informations générales |
| Auteur |
Chin, Seongah; Lee, Chung-Yeon |
| Publié |
InTech Open Access Publisher, 2013
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| Abstract |
In this paper, we present technical approaches that
bridge the gap in the research related to the use of braincomputer
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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International Journal of Advanced Robotic Systems
Auteur: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Publié: 2004
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