A Comparative Study of Algorithms and Methods for Facial Expression Recognition

Emotion Recognition is a critical component in the evolution of Human Computer Interaction (HCI). The advancement of Artificial Intelligent (AI) has enabled human and computer to achieve a symbiotic partnership where computers can understand human emotions (e.g., happy or sad) so that computer systems can adapt to human emotion reaction. Detecting and recognizing optimum human emotion is the first step towards this human and computer symbiosis. This paper first studies and compares different emotion recognition Machine Learning Algorithms. It then proposes the application of personalized emotion recognition learning; where a machine learns the emotions of a specific user to achieve higher emotion recognition accuracy.