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 …
A Methodological and Structural Review of Hand Gesture Recognition Across Diverse Data Modalities
Researchers have been developing Hand Gesture Recognition (HGR) systems to enhance
natural, efficient, and authentic human-computer interaction, especially benefiting those who …
natural, efficient, and authentic human-computer interaction, especially benefiting those who …
From rule-based models to deep learning transformers architectures for natural language processing and sign language translation systems: survey, taxonomy and …
With the growing Deaf and Hard of Hearing population worldwide and the persistent
shortage of certified sign language interpreters, there is a pressing need for an efficient …
shortage of certified sign language interpreters, there is a pressing need for an efficient …
[PDF][PDF] Intelligent sign language recognition system for e-learning context
MJ Hussain, A Shaoor, SA Alsuhibany… - Comput. Mater …, 2022 - researchgate.net
In this research work, an efficient sign language recognition tool for e-learning has been
proposed with a new type of feature set based on angle and lines. This feature set has the …
proposed with a new type of feature set based on angle and lines. This feature set has the …
[HTML][HTML] A survey on sign language literature
Individuals with hearing impairment encounter various types and levels of difficulties,
highlighting the need for more research to provide effective support. One significant difficulty …
highlighting the need for more research to provide effective support. One significant difficulty …
Sign language identification and recognition: A comparative study
Sign Language (SL) is the main language for handicapped and disabled people. Each
country has its own SL that is different from other countries. Each sign in a language is …
country has its own SL that is different from other countries. Each sign in a language is …
From Scarcity to Understanding: Transfer Learning for the Extremely Low Resource Irish Sign Language
One of the most significant challenges to sign language recognition (SLR) today is the low
resource nature of sign language datasets, with many datasets being extremely low …
resource nature of sign language datasets, with many datasets being extremely low …
Supporting sign language narrations in the museum
N Partarakis, X Zabulis, M Foukarakis, M Moutsaki… - Heritage, 2021 - mdpi.com
The accessibility of Cultural Heritage content for the diverse user population visiting Cultural
Heritage Institutions and accessing content online has not been thoroughly discussed …
Heritage Institutions and accessing content online has not been thoroughly discussed …
MEN: Mutual enhancement networks for sign language recognition and education
The performance of existing sign language recognition approaches is typically limited by the
scale of training data. To address this issue, we propose a mutual enhancement network …
scale of training data. To address this issue, we propose a mutual enhancement network …
Irish sign language recognition using principal component analysis and convolutional neural networks
Hand-shape recognition is an important problem in computer vision with significant societal
impact. In this work, we introduce a new image dataset for Irish Sign Language (ISL) …
impact. In this work, we introduce a new image dataset for Irish Sign Language (ISL) …