Sign language is commonly used by deaf or speech impaired people to communicate but
requires significant effort to master. Sign Language Recognition (SLR) aims to bridge the …

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

Sign language recognition is a challenging problem where signs are identified by
simultaneous local and global articulations of multiple sources, ie hand shape and …

Abstract Machine learning for sign languages is bottlenecked by data. In this paper, we
present YouTube-ASL, a large-scale, open-domain corpus of American Sign Language …

Signed languages are the primary means of communication for many deaf and hard of
hearing individuals. Since signed languages exhibit all the fundamental linguistic properties …

To assist the social interaction of deaf and hearing impaired people, efficient interactive
communication tools is expected. With the growing research interest in action and gesture …

Sign language translation (SLT) aims to convert a continuous sign language video clip into a
spoken language. Considering different geographic regions generally have their own native …

Existing work on sign language translation-that is, translation from sign language videos into
sentences in a written language-has focused mainly on (1) data collected in a controlled …

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 …

Every day we see many people with disabilities like the deaf, the dumb and the blind, etc.
Sign language is one of the communication tools for the hard-of-hearing people community …