AI technologies can play an important role in breaking down the communication barriers of
deaf or hearing-impaired people with other communities, contributing significantly to their …

The analysis and recognition of sign languages are currently active fields of research
focused on sign recognition. Various approaches differ in terms of analysis methods and the …

Hand gesture recognition is one of the most widely explored areas under the human–
computer interaction domain. Although various modalities of hand gesture recognition have …

Sign language translation (SLT) is considered as the core technology to break the
communication barrier between the deaf and hearing people. However, most studies only …

Sign language recognition (SLR) enables hearing-impaired people to better communicate
with able-bodied individuals. The diversity of multiple modalities can be utilized to improve …

Sign language is a natural language widely used by Deaf and hard of hearing (DHH)
individuals. Advanced wearables are developed to recognize sign language automatically …

In this work, deep transfer learning is proposed for recognition of sign sequence in
sentences continuously signed in the Indian sign language using sufficient labelled data of …

Sign language recognition is of great significance to connect the hearing/speech impaired
and non-sign language communities. Compared to isolated word recognition, sentence …

Sign language is the main channel for hearing-impaired people to communicate with others.
It is a visual language that conveys highly structured components of manual and non …

Continuous sign language recognition (CSLR) is a challenging task involving various signal
processing techniques to infer the sequences of glosses performed by signers. Existing …