Emotion recognition system for E-learning environment based on facial expressions

The popularity of E-learning has grown significantly due to the continuous growth of Internet usage and related technologies. However, the lack of face-to-face interaction in E-Learning poses a challenge in detecting the emotions of the learners. Although existing emotion recognition systems can identify the six universal emotions, they are unable to recognize the emotions specific to the E-learning environment, such as Confusion, Boredom, Concentration, and Self-Confidence. To tackle this challenge, a new emotion recognition system is proposed that considers multiple portions of the face. The proposed method utilizes the Viola-Jones algorithm for face detection, local binary patterns (LBP) for extracting the local facial features, and fuzzy neural network for classification. The experimental results demonstrate that the proposed system performs better than existing methods, achieving a higher prediction accuracy of 91.25%.