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 …

People with hearing impairments are found worldwide; therefore, the development of
effective local level sign language recognition (SLR) tools is essential. We conducted a …

Sign language recognition aims to recognize meaningful movements of hand gestures and
is a significant solution in intelligent communication between the deaf community and …

Communication for hearing-impaired communities is an exceedingly challenging task, which
is why dynamic sign language was developed. Hand gestures and body movements are …

In the recent past, research in the field of automatic sign language recognition using
machine learning methods have demonstrated remarkable success and made momentous …

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 …

We address the problem of American Sign Language fingerspelling recognition “in the wild”,
using videos collected from websites. We introduce the largest data set available so far for …

Sign language recognition is a challenging gesture sequence recognition problem,
characterized by quick and highly coarticulated motion. In this paper we focus on recognition …

Sign Language is one of the media of communication for deaf people. One should learn sign
language to interact with them. Learning usually takes place in peer groups. There exist very …

Video-level sign language recognition is still a challenging task due to the influence of sign
language-independent factors and timing requirements. This paper constructs a sign …