[HTML][HTML] MLMSign: Multi-lingual multi-modal illumination-invariant sign language recognition

A Sadeghzadeh, AFMS Shah, MB Islam - Intelligent Systems with …, 2024 - Elsevier
Sign language (SL) serves as a visual communication tool bearing great significance for
deaf people to interact with others and facilitate their daily life. Wide varieties of SLs and the …

Enhancing Signer-Independent Recognition of Isolated Sign Language through Advanced Deep Learning Techniques and Feature Fusion

A Akdag, OK Baykan - Electronics, 2024 - mdpi.com
Sign Language Recognition (SLR) systems are crucial bridges facilitating communication
between deaf or hard-of-hearing individuals and the hearing world. Existing SLR …

SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning

H Chen, J Wang, Z Guo, J Li, D Zhou, B Wu… - arXiv preprint arXiv …, 2024 - arxiv.org
Sign language recognition (SLR) plays a vital role in facilitating communication for the
hearing-impaired community. SLR is a weakly supervised task where entire videos are …

Deep learning for sign language recognition: Current techniques, benchmarks, and open issues

M Al-Qurishi, T Khalid, R Souissi - IEEE Access, 2021 - ieeexplore.ieee.org
People with hearing impairments are found worldwide; therefore, the development of
effective local level sign language recognition (SLR) tools is essential. We conducted a …

StepNet: Spatial-temporal Part-aware Network for Isolated Sign Language Recognition

X Shen, Z Zheng, Y Yang - ACM Transactions on Multimedia Computing …, 2024 - dl.acm.org
The goal of sign language recognition (SLR) is to help those who are hard of hearing or deaf
overcome the communication barrier. Most existing approaches can be typically divided into …

Unraveling a decade: a comprehensive survey on isolated sign language recognition

N Sarhan, S Frintrop - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
Sign language plays a crucial role as a distinct and vital mode of communication for diverse
groups of people in society. Each sign language encompasses a wide array of signs, each …

Recent progress in sign language recognition: a review

A Wali, R Shariq, S Shoaib, S Amir… - Machine Vision and …, 2023 - Springer
Sign language is a predominant form of communication among a large group of society. The
nature of sign languages is visual, making them distinct from spoken languages …

Collaborative multilingual continuous sign language recognition: A unified framework

H Hu, J Pu, W Zhou, H Li - IEEE Transactions on Multimedia, 2022 - ieeexplore.ieee.org
Current continuous sign language recognition systems generally target on a single
language. When it comes to the multilingual problem, existing solutions often build separate …

A two-stream CNN framework for American sign language recognition based on multimodal data fusion

Q Gao, UE Ogenyi, J Liu, Z Ju, H Liu - … Presented at the 19th UK Workshop …, 2020 - Springer
At present, vision-based hand gesture recognition is very important in human-robot
interaction (HRI). This non-contact method enables natural and friendly interaction between …

Multi-modal fusion sign language recognition based on residual network and attention mechanism

C Chu, Q Xiao, Y Zhang, X Liu - International Journal of Pattern …, 2022 - World Scientific
Sign language recognition (SLR) is a useful tool for the deaf-mute to communicate with the
outside world. Although many SLR methods have been proposed and have demonstrated …