Evolution and Trends in Sign Language Avatar Systems: Unveiling a 40-Year Journey via Systematic Review

IF 2.4 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Maryam Aziz, Achraf Othman
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引用次数: 0

Abstract

Sign language (SL) avatar systems aid communication between the hearing and deaf communities. Despite technological progress, there is a lack of a standardized avatar development framework. This paper offers a systematic review of SL avatar systems spanning from 1982 to 2022. Using PRISMA guidelines, we shortlisted 47 papers from an initial 1765, focusing on sign synthesis techniques, corpora, design strategies, and facial expression methods. We also discuss both objective and subjective evaluation methodologies. Our findings highlight key trends and suggest new research avenues for improving SL avatars.
手语化身系统的演变和趋势:通过系统回顾揭示40年的历程
手语(SL)化身系统有助于听力社区和聋人社区之间的交流。尽管技术进步了,但仍缺乏标准化的角色开发框架。本文对1982年至2022年的SL化身系统进行了系统回顾。使用PRISMA指南,我们从最初的1765篇论文中选出了47篇论文,重点关注符号合成技术、语料库、设计策略和面部表情方法。我们还讨论了客观和主观的评价方法。我们的研究结果突出了主要趋势,并提出了改进SL虚拟形象的新研究途径。
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来源期刊
Multimodal Technologies and Interaction
Multimodal Technologies and Interaction Computer Science-Computer Science Applications
CiteScore
4.90
自引率
8.00%
发文量
94
审稿时长
4 weeks
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