An experimental analysis of various machine learning algorithms for hand gesture recognition
Nowadays, hand gestures have become a booming area for researchers to work on. In
communication, hand gestures play an important role so that humans can communicate …
communication, hand gestures play an important role so that humans can communicate …
Joint space representation and recognition of sign language fingerspelling using Gabor filter and convolutional neural network
In this work, we are proposing a new technique for visual recognition of fingerspelling of a
sign language by fusing multiple spatial and spectral representations of manual gesture …
sign language by fusing multiple spatial and spectral representations of manual gesture …
Classification of sign language characters by applying a deep convolutional neural network
Having a massive community of almost 466 million deaf-mute people all over the world, sign
language recognition has always fascinated researchers to develop sophisticated models …
language recognition has always fascinated researchers to develop sophisticated models …
Sign language translation systems: a systematic literature review
A Boggaram, A Boggaram, A Sharma… - International Journal of …, 2022 - igi-global.com
Sign language, often termed “dactylology,” is a mode of communication for those who are
hard of hearing. With over 2.5 billion people projected to have hearing loss by 2050, there …
hard of hearing. With over 2.5 billion people projected to have hearing loss by 2050, there …
American and russian sign language dactyl recognition
I Makarov, N Veldyaykin, M Chertkov… - Proceedings of the 12th …, 2019 - dl.acm.org
Sign languages are the main way for people from deaf community to communicate with
other people. In this paper, we have compared several real-time sign language dactyl …
other people. In this paper, we have compared several real-time sign language dactyl …
Classification of American sign language by applying a transfer learned deep convolutional neural network
Having the community with more than 500,000 deaf and mute English speaking people, sign
alphabet detection has become a domain of interest among the researchers for the last …
alphabet detection has become a domain of interest among the researchers for the last …
Russian sign language dactyl recognition
I Makarov, N Veldyaykin, M Chertkov… - … and Signal Processing …, 2019 - ieeexplore.ieee.org
In this paper, we compare several real-time sign language dactyl recognition systems and
present a new model based on deep convolutional neural networks. These systems are able …
present a new model based on deep convolutional neural networks. These systems are able …
Real-time hand detection using convolutional neural networks for costa rican sign language recognition
J Zamora-Mora, M Chacón-Rivas - … International Conference on …, 2019 - ieeexplore.ieee.org
Sign language is the natural language for the deaf, something that comes naturally as a form
of non-verbal communication between signers, ruled by a set of grammars that is in constant …
of non-verbal communication between signers, ruled by a set of grammars that is in constant …
A 3D-CNN siamese network for motion gesture Sign Language alphabets recognition
H Jirathampradub, C Nukoolkit… - Proceedings of the 11th …, 2020 - dl.acm.org
Sign language recognition is developed for assisting hearing-and speech-impaired people
who communicate with others by using hand gestures as a nonverbal communication. The …
who communicate with others by using hand gestures as a nonverbal communication. The …
American and russian sign language dactyl recognition and text2sign translation
I Makarov, N Veldyaykin, M Chertkov… - … Conference on Analysis …, 2019 - Springer
Sign language is the main way to communicate for people from deaf community. However,
common people mostly do not know sign language. In this paper, we overview several real …
common people mostly do not know sign language. In this paper, we overview several real …