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A Survey of Advancements in Real-Time Sign Language Translators: Integration with IoT Technology

期刊

TECHNOLOGIES
卷 11, 期 4, 页码 -

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MDPI
DOI: 10.3390/technologies11040083

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real-time sign language translation; machine learning; computer vision; gesture recognition; IoT

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Real-time sign language translation systems play a crucial role in facilitating communication for the deaf and hard-of-hearing. Despite the availability of assistive technologies, there is a significant communication gap between sign language users and non-users. Our research aims to analyze recent advancements in real-time sign language translation, particularly in its integration with IoT technology. We conducted a comprehensive analysis of literature and technical reports, providing insights into the current state of the art in this field and discussing the potential for improving communication and inclusivity through the fusion of sign language translation and IoT technology.
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.

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