> 연구성과 > 학술발표
사용후기
책임교수 |
신동일, 신동규 |
논문명 |
System Architecture using Human Interaction Markup |
구분 |
구두발표 |
제1저자 |
이현주 |
교신저자 |
신동일 |
공동저자 |
신동규 |
국내/국외 |
국외 |
학술회의명 |
The 2014 International Symposium on Real-time Natural User |
개최국가 |
중국 |
개최일 |
2014.03.28~2014.03.31 |
주관기관 |
FTRA |
In this study, emotion-classification gathered from users was performed, classification-experiments were then conducted using SVM(Support Vector Machine) and K-means algorithm. To extract emotion, watching DVD and IAPS(International Affective Picture System) which is a way to stimulate
with photos were applied and SAM(Self-Assessment Manikin) was used in emotion-classification to users’ emotional conditions. The collected users’ Brain-wave signals gathered had been pre-processing using FIR filter and artifacts(eye-blink) were then deleted by ICA(independence component Analysis) using. The data pre-processing were conveyed into frequency analysis for
feature extraction through FFT. At last, the experiment was conducted suing classification algorithm; Although, K-means extracted 70% of results, SVM showed better accuracy which extracted 71.85% of results. Then, the results of previous researches adapted SVM were comparatively analyzed.
*ITRC 기여율 = 1