MyoTac: Real‐Time Recognition of Tactical Sign Language Based on Lightweight Deep Neural Network

H Li, Y Zhang, Q Cao - Wireless Communications and Mobile …, 2022 - Wiley Online Library
Real‐time tactical sign language recognition enables communication in a silent environment
and outside the visual range, and human‐computer interaction (HCI) can also be realized …

LADS-NET: A deep learning model for dynamic sign language recognition

X Wu, G Song, Q Zeng, Z Zhao - 2022 IEEE 5th Advanced …, 2022 - ieeexplore.ieee.org
Deaf-mutes cannot communicate with the outside world normally due to their own reasons,
while the sign language is an important medium for them to participate in social life …

Recognizing Chinese Sign Language Based on Deep Neural Network

X Hu, L Tan, J Zhou, S Ali, Z Yong… - … on Systems, Man, and …, 2020 - ieeexplore.ieee.org
Gesture recognition is ongoing attention in the field of human computer interaction (HCI).
With development of deep neural network technology in computer vision, more complex sign …

Real-time sign language recognition with guided deep convolutional neural networks

Z Liu, F Huang, GWL Tang, FYB Sze, J Qin… - Proceedings of the …, 2016 - dl.acm.org
We develop a real-time, robust and accurate sign language recognition system leveraging
deep convolutional neural networks (DCNN). Our framework is able to prevent common …

Signet: A deep learning based indian sign language recognition system

CJ Sruthi, A Lijiya - 2019 International conference on …, 2019 - ieeexplore.ieee.org
Sign language is the primary mode of communication between hearing and vocally impaired
population. The government of India has enacted the Rights of Persons with Disabilities Act …

Deep Learning Based Real-Time Indian Sign Language Recognition

S Dessai, S Naik - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
for deaf and mute people to communicate with other people and with themselves, sign
language is crucial. People frequently overlook the value of sign language, which serves as …

Automated recognition of Myanmar sign language using deep learning module

NN Kyaw, P Mitra, GR Sinha - International Journal of Information …, 2024 - Springer
The recognition of sign language in real-time poses a significant challenge due to the
dynamic nature of hand gestures, and determination of the start and end points of each …

Self-emphasizing network for continuous sign language recognition

L Hu, L Gao, Z Liu, W Feng - Proceedings of the AAAI Conference on …, 2023 - ojs.aaai.org
Hand and face play an important role in expressing sign language. Their features are
usually especially leveraged to improve system performance. However, to effectively extract …

MyoSign: enabling end-to-end sign language recognition with wearables

Q Zhang, D Wang, R Zhao, Y Yu - … of the 24th international conference on …, 2019 - dl.acm.org
Automatic sign language recognition is an important milestone in facilitating the
communication between the deaf community and hearing people. Existing approaches are …

Multi-view spatial-temporal network for continuous sign language recognition

R Li, L Meng - arXiv preprint arXiv:2204.08747, 2022 - arxiv.org
Sign language is a beautiful visual language and is also the primary language used by
speaking and hearing-impaired people. However, sign language has many complex …