Retracted article: a study on Arabic sign language recognition for differently abled using advanced machine learning classifiers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 …

Hand sign recognition from depth images with multi-scale density features for deaf mute persons

T Sahana, S Paul, S Basu, AF Mollah - Procedia Computer Science, 2020 - Elsevier
Among many of the fastest growing research fields, sign language recognition is one of the
top. Deaf and dumb community uses sign language to express their ideas or views. Sign …

Android based real-time static Indonesian sign language recognition system prototype

R Hartanto, A Kartikasari - 2016 8th International Conference …, 2016 - ieeexplore.ieee.org
Sign language uses gestures instead of speech sounds to communicate. But in general,
normal people rarely trying to learn sign language to interact with the deaf community …

American Sign Language recognition by using 3D geometric invariant feature and ANN classification

W Tangsuksant, S Adhan… - The 7th 2014 Biomedical …, 2014 - ieeexplore.ieee.org
Communication between normal and disabled person has been developed in several
researches. The hand gesture is one of important communication for the deaf, especially …

End-to-end residual neural network with data augmentation for sign language recognition

M Xie, X Ma - 2019 IEEE 4th Advanced Information Technology …, 2019 - ieeexplore.ieee.org
Sign language is a visual language used by people with hearing impairments. It can help
people achieve communication. Due to the lack of popularity of sign language, it is of great …

Sign Language e-Learning system for hearing-impaired community of Pakistan

A Dewani, S Bhatti, MA Memon, WA Arif… - International Journal of …, 2018 - Springer
An increasing number of ratios in illness and injuries has lead to increase in the number of
disabled people at the early age of birth. In this work we presented a web based e-learning …

Thai sign language recognition by using geometric invariant feature and ANN classification

S Adhan, C Pintavirooj - 2016 9th biomedical engineering …, 2016 - ieeexplore.ieee.org
Hand sign language is the primary communication tool for people with hearing-impaired or
deaf. People can use it to communicate effectively but the challenge is to communicate with …

Pengenalan sistem isyarat bahasa indonesia (sibi) menggunakan gradient-convolutional neural network

D DARMATASIA - Jurnal INSTEK (Informatika Sains dan …, 2021 - journal3.uin-alauddin.ac.id
Penelitian ini bertujuan untuk melakukan pengenalan alfabet pada Sistem Isyarat Bahasa
Indonesia (SIBI). Penelitian ini memiliki dua kontribusi utama, Pertama dilakukan …

A comprehensive study on feature extraction and classification techniques for sign language recognition

J Singh, H Singh, V Goyal - 2021 5th International Conference …, 2021 - ieeexplore.ieee.org
Sign language is the single means by using which the deaf community can interact with
individuals living across the world. However, a small population of normal people can …

[PDF][PDF] Review on feature extraction methods of image based sign language recognition system

H Bhavsar, J Trivedi - Indian Journal of Computer Science and …, 2017 - academia.edu
Sign language is the way of communication among the Deaf-Dumb people by performing
hand gestures. This paper is present review on Sign language Recognition approaches that …