Presentation | 2014-05-30 EEG features of recognizing facial expressions Masahiro YASUDA, Zhang DOU, Minoru NAKAYAMA, |
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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 |
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Committee | HIP |
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Conference Date | 2014/5/22(1days) |
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Registration To | Human Information Processing (HIP) |
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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 |
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