Emotion and Facial Recognition in AI by Khadija Slimani (.ePUB)+
File Size: 42.0 MB
Emotion and Facial Recognition in Artificial Intelligence: Sustainable Multidisciplinary Perspectives and Applications by Khadija Slimani, Vinay Aseri, Samira Khoulji
Requirements: .ePUB, .PDF reader, 42.0 MB | True PDF, True EPUB
Overview: This book explores one of the most transformative frontiers of modern science the intersection of emotion, facial recognition, and Artificial Intelligence (AI), in an age where machines are evolving from analytical processors to emotionally perceptive entities. Bringing together leading voices from AI research, psychology, neuroscience, human&computer interaction, and policy, this book delivers an in-depth examination of how intelligent systems are learning to understand, interpret, and simulate human emotions. From theoretical foundations to advanced Deep Learning models, readers gain a panoramic view of how emotional data can reshape education, health care, mental health diagnostics, business intelligence, governance, and law enforcement. The Chapter 1 discusses the interaction between human emotional experiences and Machine Learning frameworks, relating computational methods of emotion generation and recognition to psychological concepts like Ekman’s basic emotions and dimensional theories. We discuss how such models as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers perceive the facial, vocal, and textual features to identify emotions, and also synthesize artificial expressions.
Genre: Non-Fiction > Tech & Devices
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