Researchers have been develo** Hand Gesture Recognition (HGR) systems to enhance
natural, efficient, and authentic human-computer interaction, especially benefiting those who …

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 …

Sign languages are visual languages which convey information by signers' handshape,
facial expression, body movement, and so forth. Due to the inherent restriction of …

Sign language recognition (SLR) aims to bridge speech-impaired and general communities
by recognizing signs from given videos. However, due to the complex background, light …

Automatic sign language recognition (SLR) stands as a vital aspect within the realms of
human–computer interaction and computer vision, facilitating the conversion of hand signs …

In this article, we present skeleton-based isolated sign language recognition (IsoSLR) with
part mixing-SKIM. An IsoSLR model that solely takes the skeleton representation of the …

Abstract Sign Language Recognition (SLR) is an increasingly popular research topic due to
its extensive potential applications, such as education, healthcare, emergency response …

Sign language is the main channel for hearing-impaired people to communicate with others.
It is a visual language that conveys highly structured components of manual and non …

Word-level sign language recognition (WSLR) is the backbone for continuous sign language
recognition (CSLR) that infers glosses from sign videos. Finding the relevant gloss from the …

Sign language provides a way for differently-abled individuals to express their feelings and
emotions. However, learning sign language can be challenging and time consuming. An …