Sign language recognition systems: A decade systematic literature review
A Wadhawan, P Kumar - Archives of computational methods in …, 2021 - Springer
Despite the importance of sign language recognition systems, there is a lack of a Systematic
Literature Review and a classification scheme for it. This is the first identifiable academic …
Literature Review and a classification scheme for it. This is the first identifiable academic …
[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 …
RETRACTED ARTICLE: Machine learning based sign language recognition: a review and its research frontier
R Elakkiya - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
In the recent past, research in the field of automatic sign language recognition using
machine learning methods have demonstrated remarkable success and made momentous …
machine learning methods have demonstrated remarkable success and made momentous …
Technological solutions for sign language recognition: a scoping review of research trends, challenges, and opportunities
Sign languages are critical in conveying meaning by the use of a visual-manual modality
and are the primary means of communication of the deaf and hard of hearing with their …
and are the primary means of communication of the deaf and hard of hearing with their …
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 …
Indian sign language recognition using optimized neural networks
Recognition of sign languages has gained reasonable interest by the researchers in the last
decade. An accurate sign language recognition system can facilitate more accurate …
decade. An accurate sign language recognition system can facilitate more accurate …
[PDF][PDF] Sign language recognition: State of the art
Sign language is used by deaf and hard hearing people to exchange information between
their own community and with other people. Computer recognition of sign language deals …
their own community and with other people. Computer recognition of sign language deals …
Sign language recognition using a combination of new vision based features
MM Zaki, SI Shaheen - Pattern Recognition Letters, 2011 - Elsevier
Sign languages are based on four components hand shape, place of articulation, hand
orientation, and movement. This paper presents a novel combination of vision based …
orientation, and movement. This paper presents a novel combination of vision based …
Recognition of Indian sign language in live video
Sign Language Recognition has emerged as one of the important area of research in
Computer Vision. The difficulty faced by the researchers is that the instances of signs vary …
Computer Vision. The difficulty faced by the researchers is that the instances of signs vary …
Sign language recognition application systems for deaf-mute people: a review based on input-process-output
R Anderson, F Wiryana, MC Ariesta… - Procedia computer …, 2017 - Elsevier
Abstract Sign Language Recognition is a breakthrough for helping deaf-mute people and
has been researched for many years. Unfortunately, every research has its own limitations …
has been researched for many years. Unfortunately, every research has its own limitations …