Pose-based approaches for sign language recognition provide light-weight and fast models
that can be adopted in real-time applications. This article presents a framework for isolated …

Sign language recognition (SLR) is a challenging, but highly important research field for
several computer vision systems that attempt to facilitate the communication among the deaf …

Automatic sign language recognition is a research area that encompasses human-computer
interaction, computer vision and machine learning. Robust automatic recognition of sign …

In the discipline of hand gesture and dynamic sign language recognition, deep learning
approaches with high computational complexity and a wide range of parameters have been …

Sign language recognition (SLR) refers to the classification of signs with a specific meaning
performed by the deaf and/or hearing-impaired people in their everyday communication. In …

Sign language is the primary communication medium for persons with hearing impairments.
This language depends mainly on hand articulations accompanied by nonmanual gestures …

Currently, there are over 70 million people worldwide using more than 300 sign languages
for communication, resulting in a vast number of sign language categories. Sign language …

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 …

In recent years, gesture recognition has been used in many fields, such as games, robotics
and sign language recognition. Human computer interaction (HCI) has been significantly …

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