Determining Subcategories of Facial Expressions for Improved Performance in Practical Applications
Xuejian Wang, Michael C. Fairhurst, Anne M. P. Canuto · International Journal of Computational Intelligence and Applications · 2020
In the context of facial expression recognition (FER), this paper reviews the fundamental theories of emotions and further explains the key dimensions of a defined emotional space. The main contribution of this paper is to propose a set of novel categorization methods for facial expressions to be used in the design of an automatic FER system. This novel categorization enables the facial expression to be interpreted in a better way that and to be more effective in practical applications of automatic FER systems. In order to validate the feasibility of the proposed categorization methods, a set of experiments is reported which investigates and analyzes the influence that the novel categorization brings to a multi-view FER system.