Developing successful sign language recognition, generation, and translation systems
requires expertise in a wide range of fields, including computer vision, computer graphics …

One of the factors that have hindered progress in the areas of sign language recognition,
translation, and production is the absence of large annotated datasets. Towards this end, we …

Sign languages are used by the deaf community around the globe to communicate with one
another. These are gesture-based languages where a deaf person performs gestures using …

Most of the research to date focuses on bilingual sign language translation (BSLT).
However, such models are inefficient in building multilingual sign language translation …

Arabic sign language (ArSL) is a full natural language that is used by the deaf in Arab
countries to communicate in their community. Unfamiliarity with this language increases the …

Sign language is the major means of communication for the deaf community. It uses body
language and gestures such as hand shapes, lib patterns, and facial expressions to convey …

A new, linguistically annotated, video database for automatic sign language recognition is
presented. The new RWTH-BOSTON-400 corpus, which consists of 843 sentences, several …

The development of accurate machine learning models for sign languages like American
Sign Language (ASL) has the potential to break down communication barriers for deaf …

Research in the field of continuous sign language recognition has not yet addressed the
problem of interpersonal variance in signing. Applied to signerindependent tasks, current …

Sign Language, which is a fully visual language with its own grammar, differs largely from
that of spoken languages [21]. After nearly 30 years of research, SL recognition still in its …