Video-Based Sign Language Recognition via ResNet and LSTM Network [PDF]
Journal of ImagingSign language recognition technology can help people with hearing impairments to communicate with non-hearing-impaired people. At present, with the rapid development of society, deep learning also provides certain technical support for sign language ...
Jiayu Huang, Varin Chouvatut
doaj +4 more sources
Sign Language Transformers: Joint End-to-End Sign Language Recognition and Translation [PDF]
Computer Vision and Pattern Recognition, 2020 Prior work on Sign Language Translation has shown that having a mid-level sign gloss representation (effectively recognizing the individual signs) improves the translation performance drastically.
Necati Cihan Camgöz +3 more
semanticscholar +3 more sources
Continuous Sign Language Recognition through a Context-Aware Generative Adversarial Network
Sensors, 2021 Continuous sign language recognition is a weakly supervised task dealing with the identification of continuous sign gestures from video sequences, without any prior knowledge about the temporal boundaries between consecutive signs.
Ilias Papastratis +2 more
doaj +3 more sources
IEEE AccessThe Deaf are a large social group in society. Their unique way of communicating through sign language is often confined within their community due to limited understanding by individuals outside of this demographic.
Tangfei Tao +3 more
doaj +2 more sources
Korean Sign Language Recognition Using Transformer-Based Deep Neural Network
Applied Sciences (Switzerland), 2023 Sign language recognition (SLR) is one of the crucial applications of the hand gesture recognition and computer vision research domain. There are many researchers who have been working to develop a hand gesture-based SLR application for English, Turkey ...
Abu Saleh Musa Miah, Jungpil Shin
exaly +2 more sources
Machine learning methods for sign language recognition: A critical review and analysis
Intelligent Systems with Applications, 2021 Sign language is an essential tool to bridge the communication gap between normal and hearing-impaired people. However, the diversity of over 7000 present-day sign languages with variability in motion position, hand shape, and position of body parts ...
I.A. Adeyanju, O.O. Bello, M.A. Adegboye
doaj +3 more sources
A dynamic Malaysian sign language dataset for sign language recognition and translationZenodoZenodo [PDF]
Data in BriefSign languages all around the world are unique and diverse. Each sign language shows the differences in cultural nuances of its origin locale giving it is distinctive nature.
Yuan Ting Chong +6 more
doaj +2 more sources
Hybrid InceptionNet Based Enhanced Architecture for Isolated Sign Language Recognition
IEEE AccessSign language is a common way of communication for people with hearing and/or speaking impairments. AI-based automatic systems for sign language recognition are very desirable since they can reduce barriers between people and improve Human-Computer ...
Deep R. Kothadiya +3 more
doaj +2 more sources
Real-Time Arabic Sign Language Recognition Using a Hybrid Deep Learning Model. [PDF]
Sensors (Basel)Sign language is an essential means of communication for individuals with hearing disabilities. However, there is a significant shortage of sign language interpreters in some languages, especially in Saudi Arabia.
Noor TH +8 more
europepmc +2 more sources
A Static Sign Language Recognition Method Enhanced with Self-Attention Mechanisms [PDF]
SensorsFor the current wearable devices in the application of cross-diversified user groups, it is common to face the technical difficulties of static sign language recognition accuracy attenuation, weak anti-noise ability, and insufficient system robustness ...
Yongxin Wang +3 more
doaj +2 more sources