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 …

The goal of automatic Sign Language Production (SLP) is to translate spoken language to a
continuous stream of sign language video at a level comparable to a human translator. If this …

A system was developed that will serve as a learning tool for starters in sign language that
involves hand detection. This system is based on a skin-color modeling technique, ie …

Deaf persons, whether or not they are sign language users, make up one of various existing
marginalized populations that historically have been socially and politically …

Sign language recognition is one of the fundamental ways to assist deaf people to
communicate with others. An accurate vision-based sign language recognition system using …

Sign languages (SL) are the first language for most deaf people. Consequently, bidirectional
communication among deaf and non-deaf people has always been a challenging issue …

Sign Language Recognition is a challenging research domain. It has recently seen several
advancements with the increased availability of data. In this paper, we introduce the …

Few hearing people know and use Mexican Sign Language (MSL). Consequently, this is the
main barrier between people who having total or partial hearing loss and hearing people …

This research explores using lightweight deep neural network architectures to enable the
humanoid robot Pepper to understand American Sign Language (ASL) and facilitate non …

In this study, a real-time, computer vision based sign language recognition system aimed at
aiding hearing impaired users in a hospital setting has been developed. By directing them …