This paper reviewed the sign language research in the vision-based hand gesture
recognition system from 2014 to 2020. Its objective is to identify the progress and what …

Abstract Sign Languages (SLs) are employed by deaf and hard-of-hearing (DHH) people to
communicate on a daily basis. However, the communication with hearing people still faces …

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 …

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 …

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

Abstract Sign Language Recognition (SLR) has been an active research field for the last two
decades. However, most research to date has considered SLR as a naive gesture …

Recent progress in fine-grained gesture and action classification, and machine translation,
point to the possibility of automated sign language recognition becoming a reality. A key …

In this paper, a comparative experimental assessment of computer vision-based methods for
sign language recognition is conducted. By implementing the most recent deep neural …

We propose a novel deep learning approach to solve simultaneous alignment and
recognition problems (referred to as" Sequence-to-sequence" learning). We decompose the …

This work presents a statistical recognition approach performing large vocabulary
continuous sign language recognition across different signers. Automatic sign language …