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 …
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
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 …
Sign language is an effective method for the interaction between speech and hearing …
Indian Sign Language Recognition system for dynamic signs
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 …
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
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 …
based impairments to communicate with other people. In these modern times, sign language …
Convolutional neural network based american sign language static hand gesture recognition
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 …
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
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 …
Indian sign language recognition system using network deconvolution and spatial transformer network
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) …
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
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 …
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 …
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
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 …
communication. Language is the most effective means of verbal and nonverbal …