In the Internet-of-Things (IoT) era, billions of sensors and devices collect and process data
from the environment, transmit them to cloud centers, and receive feedback via the Internet …

Hand gesture recognition serves as a key for overcoming many difficulties and providing
convenience for human life. The ability of machines to understand human activities and their …

Sign languages are visual languages using manual articulations and non-manual elements
to convey information. For sign language recognition and translation, the majority of existing …

Signed languages are not as pervasive a conversational medium as spoken languages due
to the history of institutional suppression of the former and the linguistic hegemony of the …

Abstract Prior work on Sign Language Translation has shown that having a mid-level sign
gloss representation (effectively recognizing the individual signs) improves the translation …

Vision-based sign language recognition aims at helping the hearing-impaired people to
communicate with others. However, most existing sign language datasets are limited to a …

Despite existing pioneering works on sign language translation (SLT), there is a non-trivial
obstacle, ie, the limited quantity of parallel sign-text data. To tackle this parallel data …

Sign language recognition is challenged by problems, such as accurate tracking of hand
gestures, occlusion of hands, and high computational cost. Recently, it has benefited from …

Millions of hearing impaired people around the world routinely use some variants of sign
languages to communicate, thus the automatic translation of a sign language is meaningful …

Hand gesture recognition is an attractive research field with a wide range of applications,
including video games and telesurgery techniques. Another important application of hand …