Recent advances of deep learning for sign language recognition

L Zheng, B Liang, A Jiang - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
To assist the social interaction of deaf and hearing impaired people, efficient interactive
communication tools is expected. With the growing research interest in action and gesture …

Multi-semantic discriminative feature learning for sign gesture recognition using hybrid deep neural architecture

E Rajalakshmi, R Elakkiya… - IEEE …, 2023 - ieeexplore.ieee.org
The speech and hearing-impaired community use sign language as the primary means of
communication. It is quite challenging for the general population to interpret or learn sign …

Empowering sign language communication: Integrating sentiment and semantics for facial expression synthesis

RV Azevedo, TM Coutinho, JP Ferreira, TL Gomes… - Computers & …, 2024 - Elsevier
Translating written sentences from oral languages to a sequence of manual and non-
manual gestures plays a crucial role in building a more inclusive society for deaf and hard-of …

Sign language recognition using graph and general deep neural network based on large scale dataset

ASM Miah, MAM Hasan, S Nishimura, J Shin - IEEE Access, 2024 - ieeexplore.ieee.org
Sign Language Recognition (SLR) represents a revolutionary technology aiming to
establish communication between hearing impaired and non-hearing impaired …

Exploring Sign Language Detection on Smartphones: A Systematic Review of Machine and Deep Learning Approaches

I Alam, A Hameed, RA Ziar - Advances in Human‐Computer …, 2024 - Wiley Online Library
In this modern era of technology, most of the accessibility issues are handled with the help of
smart devices and cutting‐edge gadgets. Smartphones play a crucial role in addressing …

Continuous sign language recognition for hearing-impaired consumer communication via self-guidance network

W Xue, Z Kang, L Guo, S Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Consumer communication is one of the most important factors impacting consumption,
especially for hearing-impaired people. Continuous sign language recognition (CSLR) is a …

Enabling Two-Way Communication of Deaf Using Saudi Sign Language

M Faisal, M Alsulaiman, M Mekhtiche… - IEEE …, 2023 - ieeexplore.ieee.org
Disabled people are facing many difficulties communicating with others and involving in
society. Modern societies have dedicated significant efforts to promote the integration of …

MFLSCI: Multi-granularity fusion and label semantic correlation information for multi-label legal text classification

C Meng, Y Todo, C Tang, L Luan, Z Tang - Engineering Applications of …, 2025 - Elsevier
Multi-label text classification tasks face challenges such as sample diversity, complexity, and
the need for effective utilization of label correlations. In this paper, we propose a model that …

A large corpus for the recognition of Greek Sign Language gestures

K Papadimitriou, G Sapountzaki, K Vasilaki… - Computer Vision and …, 2024 - Elsevier
Sign language recognition (SLR) from videos constitutes a captivating problem in gesture
recognition, requiring the interpretation of hand movements, facial expressions, and body …

Enhanced Weak Spatial Modeling Through CNN-based Deep Sign Language Skeletal Feature Transformation

FS Alamri, SB Abdullahi, AR Khan, T Saba - IEEE Access, 2024 - ieeexplore.ieee.org
Recent sign language skeletal-based feature models (SLSm) consist of various distracting
coordinates that lead to complex deep-learning modeling. However, SLSm is not purely a …