Sign language relies on visual gestures of human body parts to convey meaning and plays
a vital role in modern society to communicate and interact with people having hearing …

Sign languages are complex languages. Research into them is ongoing, supported by large
video corpora of which only small parts are annotated. Sign language recognition can be …

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 …

AI technologies for Natural Languages have made tremendous progress recently. However,
commensurate progress has not been made on Sign Languages, in particular, in …

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 …

Sign language recognition is considered the most important and challenging application in
gesture recognition, involving the fields of pattern recognition, machine learning and …

Abstract Automatic Sign Language Translation (SLT) is a research avenue of great societal
impact. End-to-End SLT facilitates the interaction of Hard-of-Hearing (HoH) with hearing …

Sign languages are the main visual communication medium between hard-hearing people
and their societies. Similar to spoken languages, they are not universal and vary from region …

Abstract Hand Gesture Recognition (HGR) is a challenging computer vision task. Recently,
by taking advantages of deep learning-based models, HGR methods have achieved …