Features of Event-related Potentials Used to Recognize Clusters of Facial Expressions
Masahiro Yasuda, Zhang Dou, Minoru Nakayama
2015
Abstract
To assess human emotion using electroencephalograms (EEGs), the relationship between emotional impressions of images of facial expressions and features of Event Related Potentials (ERPs) recorded using three electrodes was analyzed. First, two clusters of emotional impressions were extracted using two-dimensional responses of the Affect Grid scale. Second, features of ERPs in response to the two clusters were examined. Time slots where amplitude differences in ERP appeared were measured, and differences in the frequency power of ERP were also extracted for each electrode. To evaluate these features, prediction performance for the two clusters was examined using discriminant analysis of the features. Also, the dependency of some band pass filters was measured.
References
- Brainard, D. H. (1997). The Psychophysics Toolbox. Spatial Vision, 10:433-436.
- Ekman, P. and Friesen, W. V. (1975). Unmasking the Face: A guide to recognizing emotions from facial clues. Prentice-Hall, New Jersey, USA.
- Guitton, C. (2010). Emotions estimation from eeg recordings. Master's thesis, Imperial College, Londo, UK. http://www.academia.edu/1203149/ Emotions Estimation from EEG Recordings.
- Huang, J., Fan, J., He, W., Yu, S., Yeow, G., Sun, G., Shen, M., Chen, W., and Wang, W. (2009). Could intensity ratings of Matsumoto and Ekman's JACFEE pictures delineate basic emotions? A principal component analysis in Chinese university students. Personality and Individual Differences, 46:331-335.
- Kirchner, H. and Thorpe, S. J. (2006). Ultra-rapid object detection with saccadic eye movements: Visual processing speed revisited. Vision Research, 46:1762-1776.
- Lin, Y.-P., Wang, C.-H., Jung, T.-P., Wu, T.-L., and Jeng, S.- K. (2010). EEG-Based emotion recognition in music listening. IEEE Transaction on biomedical Engineering, 57(7):1798-1806.
- Matsumoto, D. and Ekman, P. (1988). Japanese and Caucasian facial expression of emotion (JACFEE) and neutral faces (JACNeuF). San Fransisco State University, San Francisco, CA, USA.
- Nittono, H. (2005). Event-related potential guidebook for psychological research. Kitaohji-shobo, Kyoto, Japan.
- Petrantonakis, P. C. and Hadjileontiadis, L. J. (2010). Emotion recognition from EEG using higher order crossings. IEEE Transaction on information technology in biomedine, 14(2):186-197.
- Rugg, M. D. (1997). Cognitive Neuroscience. Psychology Press, UK.
- Russell, J. A., Weiss, A., and Mendelsohn, G. A. (1989). Affect grid: A single-item scale of pleasure and arosal. Journal of Personality and Social Psychology, 57(3):493-502.
- Shibui, S. and Shigemasu, K. (2005). A model of two-dimensional placement of the facial expressions of emotion. The Japanese Journal of Psychology, 76(2):113-121.
- Takehara, T. and Suzuki, N. (2001). Robustness of the twodimensional structure of recognition of facial expression: evidence under differentt intensities of emotionality. Perception and Motor Skills, 93:739-753.
- Thorpe, S., Fize, D., and Marlot, C. (1996). Speed of processing in the human visual system. Nature, 381:520- 522.
- VanRullen, R. and Thorpe, S. J. (2001). The time course of visual processing: From early perception to decision-making. Journal of Cognitive Neuroscience, 13(4):454-461.
- Yasuda, M., Dou, Z., and Nakayama, M. (2014). EEG features of recognizing facial expressions. Technical Report HCS2014-41, IEICE Technical report.
Paper Citation
in Harvard Style
Yasuda M., Dou Z. and Nakayama M. (2015). Features of Event-related Potentials Used to Recognize Clusters of Facial Expressions . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015) ISBN 978-989-758-069-7, pages 165-171. DOI: 10.5220/0005186901650171
in Bibtex Style
@conference{biosignals15,
author={Masahiro Yasuda and Zhang Dou and Minoru Nakayama},
title={Features of Event-related Potentials Used to Recognize Clusters of Facial Expressions},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015)},
year={2015},
pages={165-171},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005186901650171},
isbn={978-989-758-069-7},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015)
TI - Features of Event-related Potentials Used to Recognize Clusters of Facial Expressions
SN - 978-989-758-069-7
AU - Yasuda M.
AU - Dou Z.
AU - Nakayama M.
PY - 2015
SP - 165
EP - 171
DO - 10.5220/0005186901650171