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 …

People with hearing impairments are found worldwide; therefore, the development of
effective local level sign language recognition (SLR) tools is essential. We conducted a …

AI technologies can play an important role in breaking down the communication barriers of
deaf or hearing-impaired people with other communities, contributing significantly to their …

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 …

A machine can understand human activities, and the meaning of signs can help overcome
the communication barriers between the inaudible and ordinary people. Sign Language …

It is an objective reality that deaf-mute people have difficulty seeking medical treatment. Due
to the lack of sign language interpreters, most hospitals in China currently do not have the …

To extract decisive features from gesture images and solve the problem of information
redundancy in the existing gesture recognition methods, we propose a new multi-scale …

We address the challenging problem of continuous sign language recognition (CSLR) from
RGB videos, proposing a novel deep-learning framework that employs spatio-temporal …

Recent approaches to Sign Language Production (SLP) have adopted spoken language
Neural Machine Translation (NMT) architectures, applied without sign-specific modifications …

RGB sign videos are easily influenced by light, perspective, and clothing, and skeleton data
might be an effective complement. The challenge of multi-modal sign language recognition …