Presentation 2014-05-30
EEG features of recognizing facial expressions
Masahiro YASUDA, Zhang DOU, Minoru NAKAYAMA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) We investigated the relationship between the electroencephalogram (EEG) reaction to facial photographs which showed emotions and the impression of them evaluated subjectively by two-dimensional scale consisting of "arousal-sleepy" and "pleasant-unpleasant." First, subjective rating scale values of facial photographs were classified into two "facial expression clusters" by cluster analysis, which were "pleasant cluster" and "unpleasant cluster." Second, we computed the event-related potentials (ERPs) of recognizing facial photographs of each cluster and determined the time when the significant difference between the ERPs of the two facial expression clusters appeared by using t-test. Also, we confirmed it was possible to presume the facial expression clusters from the features of the ERPs.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) facial expression / EEG / affect grid
Paper # HCS2014-41,HIP2014-41
Date of Issue

Conference Information
Committee HIP
Conference Date 2014/5/22(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Human Information Processing (HIP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) EEG features of recognizing facial expressions
Sub Title (in English)
Keyword(1) facial expression
Keyword(2) EEG
Keyword(3) affect grid
1st Author's Name Masahiro YASUDA
1st Author's Affiliation Department of Mechanical and Control Engineering, Graduate School of Science and Engineering Tokyo Institute of Technology()
2nd Author's Name Zhang DOU
2nd Author's Affiliation Department of Human System Science, Graduate School of Decision Science and Technology Tokyo Institute of Technology
3rd Author's Name Minoru NAKAYAMA
3rd Author's Affiliation Department of Human System Science, Graduate School of Decision Science and Technology Tokyo Institute of Technology
Date 2014-05-30
Paper # HCS2014-41,HIP2014-41
Volume (vol) vol.114
Number (no) 68
Page pp.pp.-
#Pages 6
Date of Issue