[HTML][HTML] Machine learning methods for sign language recognition: A critical review and analysis
Sign language is an essential tool to bridge the communication gap between normal and
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …
[HTML][HTML] A survey on Sign Language machine translation
A Núñez-Marcos, O Perez-de-Viñaspre… - Expert Systems with …, 2023 - Elsevier
Abstract Sign Languages (SLs) are employed by deaf and hard-of-hearing (DHH) people to
communicate on a daily basis. However, the communication with hearing people still faces …
communicate on a daily basis. However, the communication with hearing people still faces …
Advances in machine translation for sign language: approaches, limitations, and challenges
Sign languages are used by the deaf community around the globe to communicate with one
another. These are gesture-based languages where a deaf person performs gestures using …
another. These are gesture-based languages where a deaf person performs gestures using …
Machine translation from signed to spoken languages: State of the art and challenges
Automatic translation from signed to spoken languages is an interdisciplinary research
domain on the intersection of computer vision, machine translation (MT), and linguistics …
domain on the intersection of computer vision, machine translation (MT), and linguistics …
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 …
Hand gesture recognition using image processing and feature extraction techniques
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 …
systems. Approaches for image detection, analysis and classification are available in glut …
A real-time system for recognition of American sign language by using deep learning
M Taskiran, M Killioglu… - 2018 41st international …, 2018 - ieeexplore.ieee.org
Deaf people use sign languages to communicate with other people in the community.
Although the sign language is known to hearing-impaired people due to its widespread use …
Although the sign language is known to hearing-impaired people due to its widespread use …
Retracted article: a study on Arabic sign language recognition for differently abled using advanced machine learning classifiers
M Mustafa - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
This study is proposed to review the sign language recognition system based on different
classifier techniques. Mostly the Neural Network and Deep Learning-based classifiers were …
classifier techniques. Mostly the Neural Network and Deep Learning-based classifiers were …
Gesture recognition: A review focusing on sign language in a mobile context
DH Neiva, C Zanchettin - Expert Systems with Applications, 2018 - Elsevier
Sign languages, which consist of a combination of hand movements and facial expressions,
are used by deaf persons around the world to communicate. However, hearing persons …
are used by deaf persons around the world to communicate. However, hearing persons …
A survey of advancements in real-time sign language translators: integration with IoT technology
Real-time sign language translation systems are of paramount importance in enabling
communication for deaf and hard-of-hearing individuals. This population relies on various …
communication for deaf and hard-of-hearing individuals. This population relies on various …