Sign Language Unification: The Need for Next Generation Deaf Education

Kumar, Vinay K.; Goudar, R. H.; Desai, Vaibhavi

doi:10.1016/j.procs.2015.04.151

Cited by 16 publications

(5 citation statements)

References 5 publications

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“…The lack of sign language uniformity makes it difficult for deaf people to communicate with each other, as there are 300 different sign languages in use worldwide. To overcome this, a translator for sign language can be created to facilitate communication [68].…”

Section: Non-unification Of Sign Languagesmentioning

confidence: 99%

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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: Non-unification Of Sign Languagesmentioning

confidence: 99%

“…Unlike spoken languages, sign languages have not been standardized to the same extent, primarily due to the absence of a centralized authority, diverse linguistic features across sign languages, and difficulties in capturing sign language structures in written form [68,72,73].…”

Section: Non-unification Of Sign Languagesmentioning

confidence: 99%

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

2023

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“…One is morphological subtraction model and another one is gradient based canny edge operator [4]. Vinay Kumar K, R.H.Goudar and V T Desai developed Sign Language Uni cation , in which they have used Sign language (SL) recognition under Support Vector Machines(SVM) are used to quickly and reliably determine between poses such as sitting, standing and reaching or facing left rather than right [5]. Keerti Keshav Kanchi developed a face recognition system which is one of the biometric information processing systems.…”

Section: Literature Surveymentioning

confidence: 99%

Sign Language Recognition using Machine Learning Approach

Dhavale¹

2019

IJRASET

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In the world of sign language, and hand gestures, a lot of research work has been done over the past three decades. Woefully, every research has its own limitations and are still unable to be used commercially. The main problem of this way of communication is normal people who cannot understand sign language can't communicate with these people or vice versa. Many researches have known to be successful for recognizing sign language, but require an expensive cost to be commercialized. Researchers do their researches in various ways. It starts from the data acquisition methods. The data acquisition method changes because of the cost needed for a good device, but cheap method is needed for the Sign Language Recognition System to be commercialized. The method used in developing Sign Language Recognition also varies between researchers. Each method has its own strength compare to other methods and many researchers are still using different methods in developing their own Sign Language Recognition.

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“…They developed a database for different signs which are recognized by signs world atlas. For a vision-based approach, a system is defined in [11]. This approach performs an automatic translation of ISL to speech signal for impaired personals.…”

Section: Indian Sign Language Automated Learning Using Region Bound Amentioning

confidence: 99%

Indian Sign Language Automated Learning using Region Bound Algorithm

Deshpande¹,

Joshi²

2019

IJITEE

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This paper presents a novel technique to Indian sign language detection for automated learning to develop an interface towards elimination of communication gap between vocally disabled and common individual. In the approach of sign language detection, learning approach, decision making and processing overhead are of major concern. In this paper, a representation of sign language symbol for automated sign language detection and decision making is proposed. The proposed system is evaluated on hand based symbols of Indian sign language.

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Sign Language Unification: The Need for Next Generation Deaf Education

Cited by 16 publications

References 5 publications

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

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

Sign Language Recognition using Machine Learning Approach

Indian Sign Language Automated Learning using Region Bound Algorithm

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