https://shop.theiet.org:443/author/elakkiya-rajasekarElakkiya Rajasekarhttps://shop.theiet.org:443/generative-ai-for-sign-language-recognition-and-translation<p xmlns="http://ns.editeur.org/onix/3.0/reference">Sign languages differ fundamentally from spoken and written languages, with their own grammar, syntax, and three-dimensional expression involving hand gestures, facial expressions, body movements, and spatial relationships. These non-manual elements are crucial in conveying grammatical structures, nuances, and emotional tones, making sign languages uniquely complex communication systems.</p> <p xmlns="http://ns.editeur.org/onix/3.0/reference">This book provides a comprehensive foundation for understanding the linguistic structures of sign languages and explores the application of artificial intelligence (AI) techniques - ranging from classical machine learning to deep learning and generative AI - for developing effective sign language translation systems. It offers an end-to-end overview, covering linguistic fundamentals, available datasets, text-to-sign and speech-to-sign translation, vision-based sign recognition, pose estimation, and video-based sign language generation.</p> <p xmlns="http://ns.editeur.org/onix/3.0/reference">Dedicated chapters focus on model architectures, dataset curation strategies, evaluation metrics, benchmarking tools, and human-centered design approaches for accessible communication systems. Ethical considerations and responsible AI practices are also discussed to promote the development of inclusive and equitable sign language technologies.</p> <p xmlns="http://ns.editeur.org/onix/3.0/reference">Complemented by Python code examples, downloadable resources, and implementation insights, this book serves as a practical guide for researchers, engineers, students, and technology professionals aiming to develop AI-powered sign language systems. The multidisciplinary content also supports linguists, accessibility advocates, and application developers working on inclusive language technologies.</p> <p xmlns="http://ns.editeur.org/onix/3.0/reference">With its broad coverage and practical orientation, this book is suited to academic and industry professionals in artificial intelligence, computer vision, natural language processing, human-computer interaction, speech technology, and accessibility research, as well as students and early-career researchers seeking a well-rounded introduction to AI-driven sign language translation.</p> <p xmlns="http://ns.editeur.org/onix/3.0/reference">By bridging AI methodologies with real-world sign language applications, this book promotes the development of inclusive AI systems supporting communication accessibility for diverse populations.</p>Fri, 12 Sep 2025 14:39:53 GMThttps://shop.theiet.org:443/generative-ai-for-sign-language-recognition-and-translation