| Title |
Development of Bio-sensor-Based Feature Extraction and Emotion Recognition Model |
| Authors |
조예리(Ye Ri Cho) ; 배동성(Dong Sung Pae) ; 이윤규(Yun Kyu Lee) ; 안우진(Ahn Woo Jin) ; 임묘택(Myo Taeg Lim) ; 강태구(Tae Koo Kang) |
| DOI |
http://doi.org/10.5370/KIEE.2018.67.11.1496 |
| Keywords |
Emotion recognition ; Physiological sensor ; Support vector machine |
| Abstract |
The technology of emotion recognition is necessary for human computer interaction communication. There are many cases where one cannot communicate without considering one's emotion. As such, emotional recognition technology is an essential element in the field of communication. n this regard, it is highly utilized in various fields. Various bio-sensor sensors are used for human emotional recognition and can be used to measure emotions. This paper proposes a system for recognizing human emotions using two physiological sensors. For emotional classification, two-dimensional Russell's emotional model was used, and a method of classification based on personality was proposed by extracting sensor-specific characteristics. In addition, the emotional model was divided into four emotions using the Support Vector Machine classification algorithm. Finally, the proposed emotional recognition system was evaluated through a practical experiment. |