Authors

N. Nguyen, T. Nguyen, K. Tran, T. Luong, D. Nguyen, N. Vuong, P. Siritanawan, N. Tran, L. Nguyen, K. Kotani, H. Nguyen, L. Huynh, H. Ho

Abstract

In the recent years, researches in implementing visual-based Automatic Facial Expression Analysis (FEA) and human emotions estimation have been a great interest and had widespread applications. However, vision-based visual systems face challenges such as poor-quality images due to low light conditions, poker-faces, the contrast of expressions and emotions. Because of the advantages of thermal images - unsensitive to ambient light conditions, we focus on developing a human emotion estimating system using thermal-based cues. It overcomes the limits of visible images, however, once a change in emotion occurs, only some areas of the face is affected in terms of temperature. In addition, the loss of thermal information in the glasses areas is a matter of concern. This paper presents our proposed method, thermal region of interest, to fill the gap when using thermal images to estimate seven emotions.