Machine Learning-Based Facial Emotion Detection: Techniques, Applications, and Challenges
Year: 2025
Type: article
Abstract: Facial feeling acknowledgment (FER) has developed as a critical space in counterfeit insights, permitting machines to analyze and translate human feelings from facial expres- sions. The application of FER ranges over different businesses, counting healthcare, security, showcasing, and human-computer interaction. In spite of its preferences, FER faces challenges such as social varieties, moral concerns, and real-time preparing limitations. This ponder investigates include extraction methods, machine learning strategies, and profound learning approaches such as Convolutional Neural Systems (CNN) that upgrade FER frameworks. By tending to existing challenges and refining AI- driven models, FER innovation is balanced to revolutionize numerous businesses by progressing decision-making, security, and personalized client encounters
Author: Rajak, Priya
Language: English
Topic: Emotion and Mood Recognition
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6949774635
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