Abstract
Abstract: A crucial component of communication is facial emotion through facial expression. This makes the problem of evaluating human emotions via computer systems an intriguing one that has attracted increasing amounts of attention in the past few decades. The main connection is that facial expression recognition could be used in a variety of industries, including virtual reality, video games, HCI, and customer satisfaction analysis. Face detection, facial feature extraction, and expression categorization are the final three basic steps in the emotions determination (recognition process). The Russell circular approach, which has up to 24 emotional expressions, and Plutchik's Wheel of Emotions are two other categorization schemes that are frequently encountered. Ekman's classification, which has six emotional expressions (or seven, if it is a neutral expression), is the most common.
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