Fuzzy C-mean Clustering을 이용한 각성 분류에 관한 연구 = Evaluation of degree-of-arousal using a fuzzy c-mean clustering

다국어 초록 (Multilingual Abstract)

This study was to determine the level of arousal based on physiological signals. Procedures employed in this study were as follows: Twelve visual stimuli were presented to each participant. Seven subjects assessed what they felt about the stimuli on a 5-likert scale while measuring PPG (photoplethysmograph) and GSR (galvanic skin response) of them. Then, similar patterns were extracted from the physiological signals and clustered into 5 groups using a fuzzy c-mean clustering algorithm. Finally, the relationship between scores obtained from the subjective assessment and physiological patterns clustered by the fuzzy algorithm was examined to identify how exactly the two data were consistent. Of the five physiological patterns, one was almost exactly consistent with the subjective rating. However, remains of the categorized patterns showed inconsistent results. The results from this study are expected to be a starting point for evaluating humans’ emotion. In order to ensure reliability and validity, further study for enhancing the accuracy between the psychological and physiological assessment should be followed.

목차 (Table of Contents)

• ABSTRACT
• 1. 서론
• 2. 연구 방법
• 3. 연구결과
• 4. 결론 및 검토
• 감사의 글
• 참고 문헌