Hand gesture recognition methods and applications: A literature survey

L Zulpukharkyzy Zholshiyeva… - The 7th International …, 2021 - dl.acm.org
Automatic Hand Gesture Recognition has become more important in recent years. Due to an
increasing number of the deaf and hearing impaired, the use of a variety of non-contact …

A comprehensive review on sign language recognition using machine learning

J Singh, D Singh - 2022 10th International Conference on …, 2022 - ieeexplore.ieee.org
The people of the dumb and deaf community adopt sign language to talk with one another.
Sign language is an effective method for the interaction between speech and hearing …

Indian Sign Language Recognition system for dynamic signs

A Singh, A Wadhawan, M Rakhra… - … (Trends and Future …, 2022 - ieeexplore.ieee.org
Sign language is a means of communication utilising manual gestures (movement of hands
and wrists) and non-manual gestures (expressions of face and body language). There are …

Recognition of Amharic sign language with Amharic alphabet signs using ANN and SVM

NK Tamiru, M Tekeba, AO Salau - The Visual Computer, 2022 - Springer
Sign language is a natural language mostly used by persons with hearing-and speech-
based impairments to communicate with other people. In these modern times, sign language …

Convolutional neural network based american sign language static hand gesture recognition

R Ahuja, D Jain, D Sachdeva, A Garg… - International Journal of …, 2019 - igi-global.com
Communicating through hand gestures with each other is simply called the language of
signs. It is an acceptable language for communication among deaf and dumb people in this …

MEN: Mutual enhancement networks for sign language recognition and education

Z Liu, L Pang, X Qi - IEEE Transactions on Neural Networks and …, 2022 - ieeexplore.ieee.org
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 …

Indian sign language recognition system using network deconvolution and spatial transformer network

A Ghorai, U Nandi, C Changdar, T Si, MM Singh… - Neural Computing and …, 2023 - Springer
A sign language recognition system can be applied to reduce a communication gap
between deaf and normal persons. However, the Indian sign language recognition (ISL) …

Hybrid SIFT feature extraction approach for Indian sign language recognition system based on CNN

A Dudhal, H Mathkar, A Jain, O Kadam… - Proceedings of the …, 2019 - Springer
Indian sign language (ISL) is one of the most used sign languages in the Indian
subcontinent. This research aims at developing a simple Indian sign language recognition …

Sign language recognition: A comparative analysis of deep learning models

A Premkumar, R Hridya Krishna, N Chanalya… - … : Proceedings of ICICIT …, 2022 - Springer
Sign language is the primary means of communication used by deaf and dumb people.
Learning this language could be perplexing for humans; therefore, it is critical to develop a …

A computer vision-based system for recognition and classification of Urdu sign language dataset

H Zahid, M Rashid, SA Syed, R Ullah, M Asif… - PeerJ Computer …, 2022 - peerj.com
Human beings rely heavily on social communication as one of the major aspects of
communication. Language is the most effective means of verbal and nonverbal …