Quantitative survey of the state of the art in sign language recognition

O Koller - arXiv preprint arXiv:2008.09918, 2020 - arxiv.org
This work presents a meta study covering around 300 published sign language recognition
papers with over 400 experimental results. It includes most papers between the start of the …

A comprehensive survey and taxonomy of sign language research

ESM El-Alfy, H Luqman - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Sign language relies on visual gestures of human body parts to convey meaning and plays
a vital role in modern society to communicate and interact with people having hearing …

Hand gesture recognition for sign language using 3DCNN

M Al-Hammadi, G Muhammad, W Abdul… - IEEE …, 2020 - ieeexplore.ieee.org
Recently, automatic hand gesture recognition has gained increasing importance for two
principal reasons: the growth of the deaf and hearing-impaired population, and the …

A framework for hand gesture recognition based on accelerometer and EMG sensors

X Zhang, X Chen, Y Li, V Lantz… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
This paper presents a framework for hand gesture recognition based on the information
fusion of a three-axis accelerometer (ACC) and multichannel electromyography (EMG) …

DeepArSLR: A novel signer-independent deep learning framework for isolated arabic sign language gestures recognition

S Aly, W Aly - IEEE Access, 2020 - ieeexplore.ieee.org
Hand gesture recognition has attracted the attention of many researchers due to its wide
applications in robotics, games, virtual reality, sign language and human-computer …

Video hand gestures recognition using depth camera and lightweight cnn

DG Leon, J Gröli, SR Yeduri, D Rossier… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Hand gestures are a well-known and intuitive method of human-computer interaction. The
majority of the research has concentrated on hand gesture recognition from the RGB …

Glove-based continuous Arabic sign language recognition in user-dependent mode

N Tubaiz, T Shanableh… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
In this paper, we propose a glove-based Arabic sign language recognition system using a
novel technique for sequential data classification. We compile a sensor-based dataset of 40 …

Isolated arabic sign language recognition using a transformer-based model and landmark keypoints

S Alyami, H Luqman, M Hammoudeh - ACM Transactions on Asian and …, 2024 - dl.acm.org
Pose-based approaches for sign language recognition provide light-weight and fast models
that can be adopted in real-time applications. This article presents a framework for isolated …

Hand gesture recognition using image processing and feature extraction techniques

A Sharma, A Mittal, S Singh, V Awatramani - Procedia Computer Science, 2020 - Elsevier
Image identification is becoming a crucial step in most of the modern world problem-solving
systems. Approaches for image detection, analysis and classification are available in glut …

Intelligent real-time Arabic sign language classification using attention-based inception and BiLSTM

W Abdul, M Alsulaiman, SU Amin, M Faisal… - Computers and …, 2021 - Elsevier
Bio-inspired deep learning models have revolutionized sign language classification,
achieving extraordinary accuracy and human-like video understanding. Recognition and …