Wearable multifunctional organohydrogel-based electronic skin for sign language recognition under complex environments

B Song, X Dai, X Fan, H Gu - Journal of Materials Science & Technology, 2024 - Elsevier
Abstract Language barrier is the main cause of disagreement. Sign language, which is a
common language in all the worldwide language families, is difficult to be entirely …

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 …

SIGNFORMER: deepvision transformer for sign language recognition

DR Kothadiya, CM Bhatt, T Saba, A Rehman… - IEEE …, 2023 - ieeexplore.ieee.org
Sign language is the most common form of communication for the hearing impaired. To
bridge the communication gap with such impaired people, a normal people should be able …

[HTML][HTML] Deep learning in sign language recognition: a hybrid approach for the recognition of static and dynamic signs

AM Buttar, U Ahmad, AH Gumaei, A Assiri, MA Akbar… - Mathematics, 2023 - mdpi.com
A speech impairment limits a person's capacity for oral and auditory communication. A great
improvement in communication between the deaf and the general public would be …

SignExplainer: an explainable AI-enabled framework for sign language recognition with ensemble learning

DR Kothadiya, CM Bhatt, A Rehman, FS Alamri… - IEEE …, 2023 - ieeexplore.ieee.org
Deep learning has significantly aided current advancements in artificial intelligence. Deep
learning techniques have significantly outperformed more than typical machine learning …

[HTML][HTML] Two-stream mixed convolutional neural network for American sign language recognition

Y Ma, T Xu, K Kim - Sensors, 2022 - mdpi.com
The Convolutional Neural Network (CNN) has demonstrated excellent performance in
image recognition and has brought new opportunities for sign language recognition …

Sign language recognition using artificial intelligence

R Sreemathy, M Turuk, I Kulkarni, S Khurana - Education and Information …, 2023 - Springer
Sign language is the natural way of communication of speech and hearing-impaired people.
Using Indian Sign Language (ISL) interpretation system, hearing impaired people may …

[HTML][HTML] Efficient deep learning models based on tension techniques for sign language recognition

NF Attia, MTFS Ahmed, MAM Alshewimy - Intelligent systems with …, 2023 - Elsevier
Communication by speaking prevails among the various ways of self-expression and
communication between people. Speech presents a significant challenge for some disabled …

[HTML][HTML] A sign language recognition system applied to deaf-mute medical consultation

K Xia, W Lu, H Fan, Q Zhao - Sensors, 2022 - mdpi.com
It is an objective reality that deaf-mute people have difficulty seeking medical treatment. Due
to the lack of sign language interpreters, most hospitals in China currently do not have the …

A Survey on Deep Multi-modal Learning for Body Language Recognition and Generation

L Liu, L Gao, W Lei, F Ma, X Lin, J Wang - arXiv preprint arXiv:2308.08849, 2023 - arxiv.org
Body language (BL) refers to the non-verbal communication expressed through physical
movements, gestures, facial expressions, and postures. It is a form of communication that …