Results 11 to 20 of about 35,600 (244)
Smart Application for Thai and English Sign Language Translation
วารสารวิทยาการสารสนเทศและเทคโนโลยีประยุกต์, 2023 Currently, the sign language is used as a means of communication for individuals with hearing impairments. Since most people do not have knowledge to use sign language, as a result, miscommunication may occur.
Sahachok Khumwongsa, Wiyada Yawai
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INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTSign language is a vital communication tool for those who are deaf or hard of hearing.but it confronts numerous challenges as a result of its low level of certification and general awareness. This study recommends developing a real-time sign language identification system with machine learning techniques in order to bridge this communication gap.
Dr. Geetha M, Bhoomika H S
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RECOGNITION OF INDIAN SIGN LANGUAGES
International Journal of Innovative Research in Computer Science & Technology, 2021 The focal point of this project is about developing a user interface to aid people who have hearing and speaking disabilities. This application would help in recognizing the different signs with respect to the single user. The real-time image is captured using a webcam and dynamically stored.
Sahara Shetty, Yashaswi G. P.
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Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model
Sensors, 2023 Every one of us has a unique manner of communicating to explore the world, and such communication helps to interpret life. Sign language is the popular language of communication for hearing and speech-disabled people.
Kanchon Kanti Podder +9 more
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Towards Multilingual Sign Language Recognition [PDF]
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020 Sign language recognition involves modeling of multichannel information such as, hand shapes, hand movements. This requires also sufficient sign language specific data. This is a challenge as sign languages are inherently under-resourced. In the literature, it has been shown that hand shape information can be estimated by pooling resources from ...
Sandrine Tornay +2 more
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A Proposed Model for Standard Arabic Sign Language Recognition Based on Multiplicative Neural Network [PDF]
The Egyptian Journal of Language Engineering, 2014 Sign language recognition is one of the most challenging fields in Human-Computer Interface (HCI) applications.Although there are many obstacles that could dramatically limit the spread of sign language translators in our daily life, the community needs ...
Ahmed Samir +2 more
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Challenges with Sign Language Datasets for Sign Language Recognition and Translation
Proceedings of the Language Resources and Evaluation Conference, 2022 Sign Languages (SLs) are the primary means of communication for at least half a million people in Europe alone. However, the development of SL recognition and translation tools is slowed down by a series of obstacles concerning resource scarcity and standardization issues in the available data.
De Sisto, Mirella +5 more
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Arabic Sign Language Recognition System: Using an Image-Based hand Gesture Detection Method to help Deaf and Dump Children to Engage in Education [PDF]
Mağallaẗ Kulliyyaẗ Al-Adāb Bi-Qinā, 2023 Hand gestures help individuals communicate in daily life. Sign languages, however, employ hand motions extensively. People with hearing impairments use sign language.
Amr Mohmed Soliman +2 more
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A Novel Communication System For Deaf And Dumb People using gesture [PDF]
ITM Web of Conferences, 2020 Human Beings know each other and contact with themselves through thoughts and ideas.The best way to present our idea is through speech. Some people don’t have the power of speech; the only way they communicate with others is through sign language.
Ambavane Pritesh +5 more
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Phonology Recognition in American Sign Language
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022 Inspired by recent developments in natural language processing, we propose a novel approach to sign language processing based on phonological properties validated by American Sign Language users. By taking advantage of datasets composed of phonological data and people speaking sign language, we use a pretrained deep model based on mesh reconstruction ...
Federico Tavella +2 more
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