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 …
a vital role in modern society to communicate and interact with people having hearing …
Audio-visual speech and gesture recognition by sensors of mobile devices
Audio-visual speech recognition (AVSR) is one of the most promising solutions for reliable
speech recognition, particularly when audio is corrupted by noise. Additional visual …
speech recognition, particularly when audio is corrupted by noise. Additional visual …
Reviewing 25 years of continuous sign language recognition research: Advances, challenges, and prospects
Sign language is a form of visual communication employing hand gestures, body
movements, and facial expressions. The growing prevalence of hearing impairment has …
movements, and facial expressions. The growing prevalence of hearing impairment has …
American sign language words recognition using spatio-temporal prosodic and angle features: A sequential learning approach
SB Abdullahi, K Chamnongthai - IEEE Access, 2022 - ieeexplore.ieee.org
Most of the available American Sign Language (ASL) words share similar characteristics.
These characteristics are usually during sign trajectory which yields similarity issues and …
These characteristics are usually during sign trajectory which yields similarity issues and …
A multimodal user interface for an assistive robotic shopping cart
This paper presents the research and development of the prototype of the assistive mobile
information robot (AMIR). The main features of the presented prototype are voice and …
information robot (AMIR). The main features of the presented prototype are voice and …
Sign2Pose: A Pose-Based Approach for Gloss Prediction Using a Transformer Model
J Eunice, Y Sei, DJ Hemanth - Sensors, 2023 - mdpi.com
Word-level sign language recognition (WSLR) is the backbone for continuous sign language
recognition (CSLR) that infers glosses from sign videos. Finding the relevant gloss from the …
recognition (CSLR) that infers glosses from sign videos. Finding the relevant gloss from the …
TMS-Net: A multi-feature multi-stream multi-level information sharing network for skeleton-based sign language recognition
Abstract Sign Language Recognition (SLR) is an increasingly popular research topic due to
its extensive potential applications, such as education, healthcare, emergency response …
its extensive potential applications, such as education, healthcare, emergency response …
Sign language recognition method based on palm definition model and multiple classification
N Amangeldy, S Kudubayeva, A Kassymova… - Sensors, 2022 - mdpi.com
Technologies for pattern recognition are used in various fields. One of the most relevant and
important directions is the use of pattern recognition technology, such as gesture …
important directions is the use of pattern recognition technology, such as gesture …
ArabSign: a multi-modality dataset and benchmark for continuous Arabic Sign Language recognition
H Luqman - 2023 IEEE 17th International Conference on …, 2023 - ieeexplore.ieee.org
Sign language recognition has attracted the interest of researchers in recent years. While
numerous approaches have been proposed for European and Asian sign languages …
numerous approaches have been proposed for European and Asian sign languages …
Slovo: Russian Sign Language Dataset
A Kapitanov, K Karina, A Nagaev… - … Conference on Computer …, 2023 - Springer
One of the main challenges of the sign language recognition task is the difficulty of collecting
a suitable dataset due to the gap between hard-of-hearing and hearing societies. In …
a suitable dataset due to the gap between hard-of-hearing and hearing societies. In …