| Abstract |
| Despite the huge potential of the practical application of emotion recognition technologies, the enhancement of the technologies still remains a challenge mainly due to the difficulty of recognizing emotion. Although not perfect, human emotions can be recognized through human images and sounds. Emotion recognition technologies have been researched by extensive studies that include image-based recognition studies, sound-based studies, and both image and sound-based studies. Studies on emotion recognition through facial expression detection are especially effective as emotions are primarily expressed in human face. However, differences in user environment and their familiarity with the technologies may cause significant disparities and errors. In order to enhance the accuracy of real-time emotion recognition, it is crucial to note a mechanism of understanding and analyzing users` personality traits that contribute to the improvement of emotion recognition. This study focuses on analyzing users` personality traits and its application in the emotion recognition system to reduce errors in emotion recognition through facial expression detection and improve the accuracy of the results. In particular, the study offers a practical solution to users with subtle facial expressions or low degree of emotion expression by providing an enhanced emotion recognition function. |
|
|
| Key Words |
| 얼굴표정, 감정인식, 감정 인식률개선, 이용자 중심의 감정인식, 사용자 내적 성향, Emotion Recognition, Accuracy of Emotion Recognition, Enhanced Emotion recognition, User centered emotion recognition, User`s internal tendency |
|
|
 |
|
