Video-Based Sign Language Recognition via ResNet and LSTM Network [PDF]
Sign 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 +3 more sources
Continuous Sign Language Recognition through a Context-Aware Generative Adversarial Network
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
A dynamic Malaysian sign language dataset for sign language recognition and translationZenodoZenodo [PDF]
Sign 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
A Static Sign Language Recognition Method Enhanced with Self-Attention Mechanisms [PDF]
For 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
American Sign Language Recognition Using Leap Motion Controller with Machine Learning Approach
Sign language is intentionally designed to allow deaf and dumb communities to convey messages and to connect with society. Unfortunately, learning and practicing sign language is not common among society; hence, this study developed a sign language ...
Teak-Wei Chong, Boon-Giin Lee
doaj +3 more sources
Continuous Arabic Sign Language Recognition Models [PDF]
A significant communication gap persists between the deaf and hearing communities, often leaving deaf individuals isolated and marginalised. This challenge is especially pronounced for Arabic-speaking individuals, given the lack of publicly available ...
Nahlah Algethami +5 more
doaj +2 more sources
Sign Language Number Recognition
Sign language number recognition system lays down foundation for handshape recognition which addresses real and current problems in signing in the deaf community and leads to practical applications.
Sandjaja, Iwan Njoto +3 more
core +2 more sources
Sign Language Recognition [PDF]
The goal of this project is to provide a Human Computer Interaction system to resolve the problem faced by the deaf and dumb people. Since the algorithm is not designed on the base of background hand gestures, it is immune to changes in the background image.
null Keerthana P +4 more
+5 more sources
Survey of Sign Language Recognition and Translation [PDF]
Different from spoken languages, sign language is mainly composed of continuous gestures. Sign langu-age recognition and translation are important means of facilitating barrier-free communication between the hearing-impaired and the hearing person.
YAN Siyi, XUE Wanli, YUAN Tiantian
doaj +1 more source
Sequence-to-Sequence Chinese Continuous Sign Language Recognition and Translation with Multi- layer Attention Mechanism Fusion [PDF]
Enabling computers to understand the expressions of signers has been a challenging task that requires considering not only the temporal and spatial information of sign language videos,but also the complexity of sign language grammar.In the continuous ...
ZHOU Le-yuan, ZHANG Jian-hua, YUAN Tian-tian, CHEN Sheng-yong
doaj +1 more source

