[HTML][HTML] 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 …
between deaf or hard-of-hearing individuals and the hearing world. Existing SLR …
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 …
effective local level sign language recognition (SLR) tools is essential. We conducted a …
Spatiotemporal Convolutions and Video Vision Transformers for Signer-Independent Sign Language Recognition
Sign language is a vital tool of communication for individuals who are deaf or hard of
hearing. Sign language recognition (SLR) technology can assist in bridging the …
hearing. Sign language recognition (SLR) technology can assist in bridging the …
Sign language recognition using graph and general deep neural network based on large scale dataset
Sign Language Recognition (SLR) represents a revolutionary technology aiming to
establish communication between hearing impaired and non-hearing impaired …
establish communication between hearing impaired and non-hearing impaired …
Breaking the silence: Convolutional neural networks for sign language recognition in the deaf community
M Muthuswamy, AM Ali… - Sustainable Machine …, 2022 - sciencesforce.com
The deaf community faces communication barriers that hinder their interaction with the
hearing world. This work aims to bridge the gap by enabling accurate recognition of Arabic …
hearing world. This work aims to bridge the gap by enabling accurate recognition of Arabic …
Improving signer-independence using pose estimation and transfer learning for sign language recognition
Abstract Automated Sign Language Recognition (SLR) aims to bridge the communication
gap between the hearing and the hearing disabled. Computer vision and deep learning lie …
gap between the hearing and the hearing disabled. Computer vision and deep learning lie …
Sign Language Recognition: A Comprehensive Review of Traditional and Deep Learning Approaches, Datasets, and Challenges
T Tao, Y Zhao, T Liu, J Zhu - IEEE Access, 2024 - ieeexplore.ieee.org
The 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 …
sign language is often confined within their community due to limited understanding by …
Dynamic Sign Language Recognition with Hybrid CNN-LSTM and 1D Convolutional Layers
A Gupta, A Sawan, S Singh… - 2024 11th International …, 2024 - ieeexplore.ieee.org
Our study presents a novel approach for sign language recognition (SLR) using
Convolutional Neural Networks (CNN), 1D convolutional layers, and Long Short-Term …
Convolutional Neural Networks (CNN), 1D convolutional layers, and Long Short-Term …
[HTML][HTML] MLMSign: Multi-lingual multi-modal illumination-invariant sign language recognition
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 …
deaf people to interact with others and facilitate their daily life. Wide varieties of SLs and the …
Hear sign language: A real-time end-to-end sign language recognition system
Sign language recognition (SLR) bridges the communication gap between the hearing-
impaired and the ordinary people. However, existing SLR systems either cannot provide …
impaired and the ordinary people. However, existing SLR systems either cannot provide …