手语
计算机科学
手势
机器翻译
符号(数学)
桥(图论)
隐藏字幕
美国手语
人口
手语社会语言学
语言解释
人机交互
人工智能
语言学
社会学
医学
数学分析
哲学
人口学
数学
内科学
图像(数学)
作者
Maria Papatsimouli,Panagiotis Sarigiannidis,George F. Fragulis
标识
DOI:10.3390/technologies11040083
摘要
Real-time sign language translation systems are of paramount importance in enabling communication for deaf and hard-of-hearing individuals. This population relies on various communication methods, including sign languages and visual techniques, to interact with others. While assistive technologies, such as hearing aids and captioning, have improved their communication capabilities, a significant communication gap still exists between sign language users and non-users. In order to bridge this gap, numerous sign language translation systems have been developed, encompassing sign language recognition and gesture-based controls. Our research aimed to analyze the advancements in real-time sign language translators developed over the past five years and their integration with IoT technology. By closely examining these technologies, we aimed to attain a deeper comprehension of their practical applications and evolution in the domain of sign language translation. We analyzed the current literature, technical reports, and conference papers on real-time sign language translation systems. Our results offer insights into the current state of the art in real-time sign language translation systems and their integration with IoT technology. We also provide a deep understanding of the recent developments in sign language translation technology and the potential for their fusion with Internet of Things technology to improve communication and promote inclusivity for the deaf and hard-of-hearing population.
科研通智能强力驱动
Strongly Powered by AbleSci AI