Facial Emotion Recognition Using Machine Learning Algorithms: Methods and Techniques

The interpretation of a person’s state of mind relies heavily on their facial expressions. The identification of facial expressions requires the categorization of a number of different feelings, such as neutral, happy, angry. This use is becoming increasingly significant in day-to-day living. Identifying emotions can be accomplished through a variety of strategies, such as those based on machine learning and artificial intelligence (AI) techniques. Methods such as deep learning and image classification are utilised in order to recognise facial expressions and categorise them in accordance with the corresponding photographs. For the purpose of training expression recognition models, a variety of datasets are utilised. This article provides a comprehensive analysis of the facial recognition systems and techniques that have been utilised in the past, as well as those that have been developed more recently, together with the methodology behind them and some examples of their applications.