… Although most of the works in recognizing emotions are focused on face analysis, there
are a few works in computer vision that address emotion recognition using other visual clues …

… which is computer vision. In this study, a deep neural network (DNN) was adopted for Facial
emotion recognition (… of neural networks and assist with improving computer vision accuracy. …

… Facial emotion recognition (FER) is an important topic in the fields of computer vision and
artificial intelligence owing to its significant academic and commercial potential. Although FER …

… facial expression recognition (… in Computer Vision based on the selected papers is presented.
This review aims to not only become a reference for future research on emotion recognition…

… However so far the recognition of facial emotions is mainly addressed by computer vision
researchers, based on facial display. Also detection of vocal expressions of emotions can be …

… Regardless of the current progresses, still emotion recognition remains an open problem
for the computer vision community. EmotionNet is the largest Challenge in terms of data …

… A novel model for emotion recognition is introduced in our system, which uses a tripled
hidden Markov model(THMM). The THMM is a generalization of the HMM suitable for a large …

… in the emotion recognition area are facial accessories, non-uniform illuminations, pose
variations, etc. Emotion … This paper deals with emotion recognition by using transfer learning …

… recognition accuracies to validate the utility of the database for emotion recognition tasks.
To the best of our knowledge, the use of DBNs for multimodal emotion recognition of data …

… With advancements in computer vision, high emotion recognition … Challenges persist in
emotion recognition under naturalistic … Developments in computer vision continuously aim to …