Every one of us has a unique manner of communicating to explore the world, and such
communication helps to interpret life. Sign language is the popular language of …

The deaf community faces some major challenges due to the communication gap with the
hearing community. The traditional approach of employing a Sign Language (SL) interpreter …

A sign language recognition system (SLRS) facilitates the flow of information between the
signer and non-signer communities. In recent years, deep learning has become ubiquitous …

Previous research has achieved remarkable progress in Sign Language Recognition (SLR).
However, for robust open-set SLR applications, it is necessary to solve signer-independent …

Sign languages is a critical requirement that helps deaf people to express their needs,
feelings and emotions using a variety of hand gestures throughout their daily life. This …

Automatic sign language recognition is an important milestone in facilitating the
communication between the deaf community and hearing people. Existing approaches are …

Continuous sign language recognition (CSLR) is a challenging task involving various signal
processing techniques to infer the sequences of glosses performed by signers. Existing …

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

Sign language is regularly adopted by speech-impaired or deaf individuals to convey
information; however, it necessitates substantial exertion to acquire either complete …

Sign language is a powerful form of communication for humans, and advancements in
computer vision systems are driving significant progress in sign language recognition. In the …