Results 41 to 50 of about 5,743,277 (287)
BEST: BERT Pre-Training for Sign Language Recognition with Coupling Tokenization [PDF]
AAAI Conference on Artificial Intelligence, 2023 In this work, we are dedicated to leveraging the BERT pre-training success and modeling the domain-specific statistics to fertilize the sign language recognition~(SLR) model.
Wei-Chao Zhao +4 more
semanticscholar +1 more source
IEEE Access, 2022 Sign language is the primary communication medium for persons with hearing impairments. This language depends mainly on hand articulations accompanied by nonmanual gestures. Recently, there has been a growing interest in sign language recognition.
Hamzah Luqman
doaj +1 more source
A Comparative Review on Applications of Different Sensors for Sign Language Recognition
Journal of Imaging, 2022 Sign language recognition is challenging due to the lack of communication between normal and affected people. Many social and physiological impacts are created due to speaking or hearing disability.
Muhammad Saad Amin +2 more
doaj +1 more source
Sign language recognition method based on deep learning [PDF]
ITM Web of ConferencesSign language recognition, as an interdisciplinary field involving computer vision, pattern recognition, and natural language processing, holds profound research significance and extensive application value.
He Mu
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Sign Language Recognition Using the Electromyographic Signal: A Systematic Literature Review
Sensors, 2023 The analysis and recognition of sign languages are currently active fields of research focused on sign recognition. Various approaches differ in terms of analysis methods and the devices used for sign acquisition.
Amina Ben Haj Amor +2 more
doaj +1 more source
A Survey on Sign Language Recognition and Training Module [PDF]
ITM Web of Conferences, 2023 Communication among the deaf and non-verbal communities has long reliedon sign language recognition. From all researchers around from early electric signal-based sign language identification to more recent recognition using machine/deep learning ...
Anjana Devi V. +2 more
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A unified system for segmentation and tracking of face and hands in sign language recognition [PDF]
, 2006 This paper presents a unified system for segmentation and tracking of face and hands in a sign language recognition using a single camera. Unlike much related work that uses colour gloves, we detect skin by combining 3 useful features: colour, motion and
A. Sutherland +5 more
core +2 more sources
Technical Approaches to Chinese Sign Language Processing: A Review
IEEE Access, 2019 As with the huge number of deaf-mute people in China is of concern, there is a growing need to integrate them into mainstream society through the use of efficient sign language processing technologies.
Suhail Muhammad Kamal +4 more
doaj +1 more source
Improved 3D-ResNet sign language recognition algorithm with enhanced hand features
Scientific Reports, 2022 In sign language video, the hand region is small, the resolution is low, the motion speed is fast, and there are cross occlusion and blur phenomena, which have a great impact on sign language recognition rate and speed, and are important factors ...
Shiqi Wang +4 more
doaj +1 more source
Sensors, 2021 Sign language is the most important way of communication for hearing-impaired people. Research on sign language recognition can help normal people understand sign language. We reviewed the classic methods of sign language recognition, and the recognition
Lu Meng, Ronghui Li
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