상세정보
학술지
Analysis of Physiological Responses and Use of Fuzzy Information Granulation-Based Neural Network for Recognition of Three Emotions
- 발행일
- 201512
- 출처
- ETRI Journal, v.37 no.6, pp.1231-1241
- ISSN
- 1225-6463
- 출판사
- 한국전자통신연구원 (ETRI)
- 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.
- KSP 제안 키워드
- Design phase, Emotion recognition, Feature selection(FS), Feature space, Fuzzy c-means Clustering, Fuzzy information granulation, Physiological responses, Physiological signals, Recognition Accuracy, emotional stimuli, fuzzy inference