Classification of Sign-Language Using Deep Learning by ResNet

TN Abu-Jamie, SS Abu-Naser - 2022 - philpapers.org
Abstract American Sign Language, or ASL as its acronym is commonly known, is a
fascinating language, and many people outside of the Deaf community have begun to …

Sign language recognition via deformable 3D convolutions and modulated graph convolutional networks

K Papadimitriou, G Potamianos - ICASSP 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Automatic sign language recognition (SLR) remains challenging, especially when
employing RGB video alone (ie, with no depth or special glove-based input) and under a …

Convolutional Neural Network Approach for South African Sign Language Recognition and Translation

TG Moape, A Muzambi… - 2024 Conference on …, 2024 - ieeexplore.ieee.org
Sign language is a natural, visually oriented, and non-verbal communication channel for the
deaf and dumb community. However, not everyone understands sign language, particularly …

Interpreting sign language recognition using transformers and MediaPipe landmarks

C Luna-Jiménez, M Gil-Martín, R Kleinlein… - Proceedings of the 25th …, 2023 - dl.acm.org
Sign Language Recognition (SLR) is a challenging task that aims to bridge the
communication gap between the deaf and hearing communities. In recent years, deep …

A Weighted Deep Ensemble for Indian Sign Language Recognition

R Gupta, AS Bhatnagar, G Singh - IETE Journal of Research, 2023 - Taylor & Francis
This work concentrates on developing an Indian sign language (ISL) recognition system
using a forearm-worn wearable device to assist hearing-impaired persons. A novel …

Spatial–temporal transformer for end-to-end sign language recognition

Z Cui, W Zhang, Z Li, Z Wang - Complex & Intelligent Systems, 2023 - Springer
Continuous sign language recognition (CSLR) is an essential task for communication
between hearing-impaired and people without limitations, which aims at aligning low …

Manual and non-manual sign language recognition framework using hybrid deep learning techniques

S Javaid, S Rizvi - Journal of Intelligent & Fuzzy Systems, 2023 - content.iospress.com
Sign language recognition is a significant cross-modal way to fill the communication gap
between deaf and hearing people. Automatic Sign Language Recognition (ASLR) translates …

A deep learning approach for analyzing video and skeletal features in sign language recognition

D Konstantinidis, K Dimitropoulos… - 2018 IEEE international …, 2018 - ieeexplore.ieee.org
Sign language recognition (SLR) refers to the classification of signs with a specific meaning
performed by the deaf and/or hearing-impaired people in their everyday communication. In …

Sensor fusion of motion-based sign language interpretation with deep learning

BG Lee, TW Chong, WY Chung - Sensors, 2020 - mdpi.com
Sign language was designed to allow hearing-impaired people to interact with others.
Nonetheless, knowledge of sign language is uncommon in society, which leads to a …

Dynamic Korean sign language recognition using pose estimation based and attention-based neural network

J Shin, ASM Miah, K Suzuki, K Hirooka… - IEEE Access, 2023 - ieeexplore.ieee.org
Sign language recognition is crucial for improving communication accessibility for the
hearing impaired community and reducing dependence on human interpreters. Notably …