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학술지 Analysis of Physiological Responses and Use of Fuzzy Information Granulation-Based Neural Network for Recognition of Three Emotions
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저자
박병준, 장은혜, 김경호, 김상협
발행일
201512
출처
ETRI Journal, v.37 no.6, pp.1231-1241
ISSN
1225-6463
출판사
한국전자통신연구원 (ETRI)
DOI
https://dx.doi.org/10.4218/etrij.15.0114.0089
협약과제
14PC1200, 운전 안전성 및 편의성 향상을 위한 운전자 시야 중심 차량용 증강현실 정보제공 시스템 기술개발, 김경호
초록
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.
키워드
Autonomic nervous system response, Emotion recognition, Feature selection, Fuzzy inference, Information granulation, Physiological signal
KSP 제안 키워드
Autonomic nervous system(ANS), Design phase, Emotion recognition, Feature selection(FS), Feature space, Fuzzy c-means Clustering, Fuzzy information granulation, Neural networks, Physiological responses, Physiological signals, Recognition Accuracy