A Review on Hand Gesture and Sign Language Techniques for Hearing Impaired Person

Salim, Safyzan; Jamil, Muhammad Mahadi Abdul; Ambar, Radzi; Wahab, Mohd Helmy Abd

doi:10.1007/978-3-031-08859-9_4

Cited by 7 publications

(1 citation statement)

References 32 publications

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“…Moreover, there is evidence to suggest that such technologies are enabling sign language users to achieve educational and professional milestones more efficiently and expeditiously. The use of IoT in sign language is a breakthrough and is having an enormously positive impact on the lives of hearing-impaired people [45]. With the help of this technology, these individuals can interact with the world and participate in various activities and opportunities that they would otherwise be unable to access.…”

Section: Iot Machine Learning and Sign Language Applicationsmentioning

confidence: 99%

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

2023

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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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Section: Iot Machine Learning and Sign Language Applicationsmentioning

confidence: 99%