TECHNOLOGIES FOR EMOTION RECOGNITION USING ARTIFICIAL INTELLIGENCE

This scientific article examines the capabilities of Artificial Intelligence (AI) systems in detecting and analyzing human emotions, namely modern technological advancements in the field of "Affective Computing." The article analyzes algorithms for classifying emotions through facial expressions, speech intonation, text content, and physiological indicators, with particular attention to the role of Deep Learning and Convolutional Neural Networks (CNN). The research thoroughly explores the practical significance of emotion recognition technologies in economics, medicine, education, and security, as well as the ethical issues and data privacy concerns that arise in this process. The article also compares the effectiveness of multimodal emotion recognition systems against traditional methods and provides scientific conclusions on future development trends. This work serves as a theoretical and practical resource for AI specialists and information technology students.