Facial Expression Recognition: Reveiling the Nuances of Human Emotion

Facial expressions play a vital role in expressing emotions and facilitating social interactions. This paper investigates Facial Expression Recognition (FER) systems and the capabilities of deep learning methodologies. We introduce an innovative FER system that employs a hybrid feature extraction technique. This approach integrates VGG-FACE for advanced feature learning alongside Local Binary Patterns (LBP) for the identification of micro-expressions, effectively addressing the limitations associated with each individual method. Our system achieves real-time performance and exhibits enhanced efficiency in comparison to earlier techniques. 1 Although Facial Recognition Emotion Recognition Systems (FMERS) show potential for a range of applications, additional research is required in the areas of multimodal emotion recognition and the reduction of biases within FER systems.