ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Journal Article Analysis of Physiological Responses and Use of Fuzzy Information Granulation–Based Neural Network for Recognition of Three Emotions
Cited 6 time in scopus Download 48 time Share share facebook twitter linkedin kakaostory
Authors
Byoung-Jun Park, Eun-Hye Jang, Kyong-Ho Kim, Sang-Hyeob Kim
Issue Date
2015-12
Citation
ETRI Journal, v.37, no.6, pp.1231-1241
ISSN
1225-6463
Publisher
한국전자통신연구원 (ETRI)
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.4218/etrij.15.0114.0089
Abstract
In this study, we investigate the relationship between emotions and the physiological responses, with emotion recognition, using the proposed fuzzy information granulation창?궗"based neural network (FIGNN) for boredom, pain, and surprise emotions. For an analysis of the physiological responses, three emotions are induced through emotional stimuli, and the physiological signals are obtained from the evoked emotions. To recognize the emotions, we design an FIGNN recognizer and deal with the feature selection through an analysis of the physiological signals. The proposed method is accomplished in premise, consequence, and aggregation design phases. The premise phase takes information granulation using fuzzy c-means clustering, the consequence phase adopts a polynomial function, and the aggregation phase resorts to a general fuzzy inference. Experiments show that a suitable methodology and a substantial reduction of the feature space can be accomplished, and that the proposed FIGNN has a high recognition accuracy for the three emotions using physiological signals.
KSP Keywords
Design phase, Emotion Recognition, Feature space, Fuzzy C-means clustering, Fuzzy information granulation, Physiological responses, Physiological signals, emotional stimuli, feature selection, fuzzy inference, neural network(NN)