제어로봇시스템학회:학술대회논문집
- 2004.08a
- /
- Pages.682-685
- /
- 2004
Classification of Emotional States of Interest and Neutral Using Features from Pulse Wave Signal
- Phongsuphap, Sukanya (Department of Computer Science, Faculty of Science, Mahidol University) ;
- Sopharak, Akara (Program in Computer Information System, Burapha University Chantaburi Campus)
- Published : 2004.08.25
Abstract
This paper investigated a method for classifying emotional states by using pulse wave signal. It focused on finding effective features for emotional state classification. The emptional states considered here consisted of interest and neutral. Classification experiments utilized 65 and 60 samples of interest and neutral states respectively. We have investigated 19 features derived from pulse wave signals by using both time domain and frequency domain analysis methods with 2 classifiers of minimum distance (normalized Euclidean distanece) and