Multi-cue temporal modeling for skeleton-based sign language recognition

O Özdemir, İM Baytaş, L Akarun - Frontiers in Neuroscience, 2023 - frontiersin.org
Sign languages are visual languages used as the primary communication medium for the
Deaf community. The signs comprise manual and non-manual articulators such as hand …

Recognizing british sign language using deep learning: A contactless and privacy-preserving approach

H Hameed, M Usman, A Tahir, K Ahmad… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Sign language is utilized by deaf-mute to communicate through hand movements, body
postures, and facial emotions. The motions in sign language comprise a range of distinct …

PenSLR: Persian end-to-end Sign Language Recognition Using Ensembling

A Salmankhah, A Rajabi, N Kheirmand… - arXiv preprint arXiv …, 2024 - arxiv.org
Sign Language Recognition (SLR) is a fast-growing field that aims to fill the communication
gaps between the hearing-impaired and people without hearing loss. Existing solutions for …

[PDF][PDF] Signer-independent sign language recognition with adversarial neural networks

PM Ferreira, D Pernes, A Rebelo… - International Journal of …, 2021 - researchgate.net
Sign Language Recognition (SLR) has become an appealing topic in modern societies
because such technology can ideally be used to bridge the gap between deaf and hearing …

[Retracted] Hypertuned Deep Convolutional Neural Network for Sign Language Recognition

A Mannan, A Abbasi, AR Javed… - Computational …, 2022 - Wiley Online Library
Sign language plays a pivotal role in the lives of impaired people having speaking and
hearing disabilities. They can convey messages using hand gesture movements. American …

SignGest: sign Language Recognition using acoustic signals on smartphones

H Wang, J Zhang, Y Li, L Wang - 2022 IEEE 20th International …, 2022 - ieeexplore.ieee.org
Sign language is a bridge for communication be-tween people with normal hearing and
impaired hearing. How-ever, only a few people with normal hearing have an understanding …

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 …

[HTML][HTML] DeepASLR: A CNN based human computer interface for American Sign Language recognition for hearing-impaired individuals

A Kasapbaşi, AEA Elbushra, ALH Omar… - Computer methods and …, 2022 - Elsevier
Background Sign language is an essential means of communication for hearing-impaired
individuals. Objective We aimed to develop an American sign language recognition dataset …

BiSign-Net: fine-grained static sign language recognition based on bilinear CNN

A Sadeghzadeh, MB Islam - 2022 International Symposium on …, 2022 - ieeexplore.ieee.org
Sign language (SL) is a type of communication language used by deaf and hard-of-hearing
people. Large varieties in different SLs and lack of knowledge in general public to interpret …

Unveiling the Power of Machine Learning and Deep Learning in Advancing American Sign Language Recognition

N Shanthi, C Sharmila, M Muthuraja… - 2024 International …, 2024 - ieeexplore.ieee.org
American Sign Language (ASL) serves as a crucial visual-gestural language for the Deaf
community, characterized by its intricate syntax expressed through gestures, facial …