Artificial intelligence technologies for sign language

I Papastratis, C Chatzikonstantinou, D Konstantinidis… - Sensors, 2021 - mdpi.com
AI technologies can play an important role in breaking down the communication barriers of
deaf or hearing-impaired people with other communities, contributing significantly to their …

Sign language recognition using the electromyographic signal: a systematic literature review

A Ben Haj Amor, O El Ghoul, M Jemni - Sensors, 2023 - mdpi.com
The analysis and recognition of sign languages are currently active fields of research
focused on sign recognition. Various approaches differ in terms of analysis methods and the …

Exploiting domain transformation and deep learning for hand gesture recognition using a low-cost dataglove

MAA Faisal, FF Abir, MU Ahmed, MAR Ahad - Scientific Reports, 2022 - nature.com
Hand gesture recognition is one of the most widely explored areas under the human–
computer interaction domain. Although various modalities of hand gesture recognition have …

Wearsign: Pushing the limit of sign language translation using inertial and emg wearables

Q Zhang, JZ Jing, D Wang, R Zhao - … of the ACM on interactive, mobile …, 2022 - dl.acm.org
Sign language translation (SLT) is considered as the core technology to break the
communication barrier between the deaf and hearing people. However, most studies only …

Multimodal fusion framework based on statistical attention and contrastive attention for sign language recognition

J Zhang, Q Wang, Q Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Sign language recognition (SLR) enables hearing-impaired people to better communicate
with able-bodied individuals. The diversity of multiple modalities can be utilized to improve …

Signring: Continuous american sign language recognition using imu rings and virtual imu data

J Li, L Huang, S Shah, SJ Jones, Y Jin… - Proceedings of the …, 2023 - dl.acm.org
Sign language is a natural language widely used by Deaf and hard of hearing (DHH)
individuals. Advanced wearables are developed to recognize sign language automatically …

A wearable system for sign language recognition enabled by a convolutional neural network

Y Liu, X Jiang, X Yu, H Ye, C Ma, W Wang, Y Hu - Nano Energy, 2023 - Elsevier
Sign language recognition is of great significance to connect the hearing/speech impaired
and non-sign language communities. Compared to isolated word recognition, sentence …

Continuous sign language recognition using isolated signs data and deep transfer learning

S Sharma, R Gupta, A Kumar - Journal of Ambient Intelligence and …, 2023 - Springer
In this work, deep transfer learning is proposed for recognition of sign sequence in
sentences continuously signed in the Indian sign language using sufficient labelled data of …

SGRN: SEMG-based gesture recognition network with multi-dimensional feature extraction and multi-branch information fusion

Z Gan, Y Bai, P Wu, B Xiong, N Zeng, F Zou, J Li… - Expert Systems with …, 2025 - Elsevier
Spatial–temporal feature extraction methods have been widely used for gesture
classification using surface electromyography (sEMG) signals. Nevertheless, prevalent …

Spatial attention-based 3d graph convolutional neural network for sign language recognition

M Al-Hammadi, MA Bencherif, M Alsulaiman… - Sensors, 2022 - mdpi.com
Sign language is the main channel for hearing-impaired people to communicate with others.
It is a visual language that conveys highly structured components of manual and non …