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

This work develops a continuous sign language (SL) recognition framework with deep
neural networks, which directly transcribes videos of SL sentences to sequences of ordered …

Continuous sign language recognition (CSLR) is a very challenging task in intelligent
systems, since it requires to produce real-time responses while performing computationally …

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 …

In this work, we are dedicated to leveraging the BERT pre-training success and modeling
the domain-specific statistics to fertilize the sign language recognition~(SLR) model …

Sign language plays a pivotal role in the lives of impaired people having speaking and
hearing disabilities. They can convey messages using hand gesture movements. American …

Hand and face play an important role in expressing sign language. Their features are
usually especially leveraged to improve system performance. However, to effectively extract …

Background Sign language is an essential means of communication for hearing-impaired
individuals. Objective We aimed to develop an American sign language recognition dataset …

Indian Sign Language (ISL) is a complete language with its own grammar, syntax,
vocabulary and several unique linguistic attributes. It is used by over 5 million deaf people in …

Sign language, as a different form of the communication language, is important to large
groups of people in society. There are different signs in each sign language with variability …