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 …

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 …

One of the more natural ways of interaction between the machine and human is offered by
Human gestures which are useful for sign language recognition (SLR). Sign language is the …

ABSTRACT Research on Chinese Sign Language (CSL) provides convenience and support
for individuals with hearing impairments to communicate and integrate into society. This …

Sign language is used by people who have hearing and speaking difficulties, but not
understood by many without these difficulties. Therefore, sign language recognition systems …

An Arabic sign language recognition using two concatenated deep convolution neural
network models DenseNet121 & VGG16 is presented. The pre-trained models are fed with …

Sign languages are a fundamental source of communication for the deaf community,
generated through movements of the human body. Similar to the natural languages, sign …

Deaf and dumb people usually use sign language as a means of communication. This
language is made up of manual and non-manual physical expressions that help the people …

Sign language is the most common means of communication among the speech-and
hearing-impaired. Just like all other languages, tools are being developed for interlanguage …

This study introduces an innovative multichannel approach that focuses on the features and
configurations of fingers in isolated sign language recognition. The foundation of this …