计算机工程与应用2025，Vol.61Issue(24)：68-85,18.DOI:10.3778/j.issn.1002-8331.2503-0238
视觉手语翻译技术研究综述
Review of Research on Visual Sign Language Translation Technology
摘要
Abstract
Visual sign language translation(VSLT)serves as a crucial bridge between the deaf and hearing communities.With the rapid development of computer vision and deep learning,VSLT has made significant progress in recent years.Its aim is to automatically convert sign language video sequences into natural language text,facilitating accessibility and inclusivity.To provide a comprehensive and systematic review of VSLT,this study examines the field from three key per-spectives.It categorizes and analyzes VSLT researches,discussing the methodological characteristics and technological evolution.It provides the description of sign language data acquisition equipment,publicly available multi-language sign language datasets,and commonly used evaluation metrics.It examines the current state of research and practical applications,identifies existing challenges,and proposes relevant outlooks and feasible measures for researchers.关键词
视频理解/手语翻译/计算机视觉/深度学习Key words
video understanding/sign language translation/computer vision/deep learning分类
信息技术与安全科学引用本文复制引用
LYU Jiawei,LI Shaobin,ZHU Ruolin..视觉手语翻译技术研究综述[J].计算机工程与应用,2025,61(24):68-85,18.基金项目
国家重点研发计划(2018YFB1404103) （2018YFB1404103）
国家留学基金委(CSC202507050016). （CSC202507050016）
