Sign language recognition: A deep survey

R Rastgoo, K Kiani, S Escalera - Expert Systems with Applications, 2021 - Elsevier
Sign language, as a different form of the communication language, is important to large
groups of people in society. There are different signs in each sign language with variability …

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 …

Sign language recognition using the fusion of image and hand landmarks through multi-headed convolutional neural network

RK Pathan, M Biswas, S Yasmin, MU Khandaker… - Scientific Reports, 2023 - nature.com
Abstract Sign Language Recognition is a breakthrough for communication among deaf-mute
society and has been a critical research topic for years. Although some of the previous …

Hand sign language recognition using multi-view hand skeleton

R Rastgoo, K Kiani, S Escalera - Expert Systems with Applications, 2020 - Elsevier
Hand sign language recognition from video is a challenging research area in computer
vision, which performance is affected by hand occlusion, fast hand movement, illumination …

[HTML][HTML] American sign language alphabet recognition by extracting feature from hand pose estimation

J Shin, A Matsuoka, MAM Hasan, AY Srizon - Sensors, 2021 - mdpi.com
Sign language is designed to assist the deaf and hard of hearing community to convey
messages and connect with society. Sign language recognition has been an important …

Static hand gesture recognition in sign language based on convolutional neural network with feature extraction method using ORB descriptor and Gabor filter

MM Damaneh, F Mohanna, P Jafari - Expert Systems with Applications, 2023 - Elsevier
In this paper, a new structure of deep learning neural network is introduced to identify the
static hand gesture in the sign language. The proposed structure includes the convolutional …

Multi-modal zero-shot dynamic hand gesture recognition

R Rastgoo, K Kiani, S Escalera, M Sabokrou - Expert Systems with …, 2024 - Elsevier
Abstract Zero-Shot Learning (ZSL) has rapidly advanced in recent years. Towards
overcoming the annotation bottleneck in the Dynamic Hand Gesture Recognition (DHGR) …

Sign language production: A review

R Rastgoo, K Kiani, S Escalera… - Proceedings of the …, 2021 - openaccess.thecvf.com
Sign Language is the dominant yet non-primary form of communication language used in
the deaf and hearing-impaired community. To make an easy and mutual communication …

User-independent American sign language alphabet recognition based on depth image and PCANet features

W Aly, S Aly, S Almotairi - IEEE Access, 2019 - ieeexplore.ieee.org
Sign language is the most natural and effective way for communications among deaf and
normal people. American Sign Language (ASL) alphabet recognition (ie fingerspelling) …

[HTML][HTML] Signer-independent arabic sign language recognition system using deep learning model

KK Podder, M Ezeddin, MEH Chowdhury, MSI Sumon… - Sensors, 2023 - mdpi.com
Every one of us has a unique manner of communicating to explore the world, and such
communication helps to interpret life. Sign language is the popular language of …