Complex Face Emotion Recognition Using Computer Vision and Machine Learning

Abstract

Facial expressions represent the changes on a person's face that reflect their inner emotional state, intentions, and communication. They serve as the most effective and quick or immediate means for humans to convey their emotions and express their intentions naturally and without words with the help of nonverbal communication. Facial emotion recognition (FER) is needed in numerous applications like scientific, medical science, investment, and market research. Emotion recognition has captivated numerous researchers in this field, drawing their interest across various know-hows such as IoT, AI with ML, and electronic sensors. Facial expression as input helps machine to identify emotions. Machines are somewhat capable of understanding basic human emotions; however, complex emotion recognition is still novice. The correctness of emotion prediction and use of the correct algorithms is still evolving in complex facial emotion detection. This chapter comprehensively explores methods for complex facial emotion recognition, utilizing computer vision and machine learning algorithms.