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    1. Data och IT
    2. Systemvetenskap och AI

    Generative AI for Sign Language Recognition and Translation

    AvElakkiya Rajasekar

    Inbunden, Engelska, 2026

    Del i serien Computing and Networks

    1 619 kr

    Beställningsvara. Skickas inom 3-6 vardagar. Fri frakt över 249 kr.

    Beskrivning

    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.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.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.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.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.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.

    Produktinformation

    • Utgivningsdatum:2026-01-06
    • Mått:156 x 234 x 18 mm
    • Vikt:581 g
    • Format:Inbunden
    • Språk:Engelska
    • Serie:Computing and Networks
    • Antal sidor:287
    • Förlag:Institution of Engineering and Technology
    • ISBN:9781837241422

    Utforska kategorier

    • Systemvetenskap och AI inom Data och IT
    • Språkvetenskap och lingvistik inom Språk och ordböcker

    Mer om författaren

    Elakkiya Rajasekar is an assistant professor in Computer Science at Department of Computer Science, Birla Institute of Technology and Science Pilani, Dubai Campus. She specializes in generative AI and computer vision, applied to language technologies, healthcare, assistive systems, and other interdisciplinary domains. She has led 16 extra-mural funded research projects supported by agencies including DST-RFBR, DRDO, Royal Society UK, and others. She serves as chair of the Dubai ACM-W Chapter.

    Innehållsförteckning

    • Chapter 1: Introduction: Background and history of sign language translationChapter 2: Fundamentals of sign language linguisticsChapter 3: Sign language datasetsChapter 4: Text translation in sign languageChapter 5: Speech-to-sign language translationChapter 6: Generative AI models for sign language translationChapter 7: Vision-based sign recognition and pose estimationChapter 8: Sign language generation and video synthesisChapter 9: Evaluation metrics and benchmarking in sign language recognition, translation, and generationChapter 10: Human-centered design and accessibility in sign language systemsChapter 11: Responsible futures: ethics and emerging directions in sign language AIAppendix A: Chapter-wise supplementary code listings and implementation guideAppendix B: Generative AI for sign language: recognition, translation, and generation