The recent advancements in computer vision and deep learning have led to promising
progress in various motion detection and gesture recognition methods. Thriving efforts in the …

Hand gesture recognition is a crucial task for the automated translation of sign language,
which enables communication for the deaf. This work proposes the usage of a magnetic …

Camera-based text entry using American Sign Language (ASL) fingerspelling has become
more feasible due to recent advancements in recognition technology. However, there are …

Fingerspelling is a method of spelling words via hand movements. This study aims to
propose a novel fingerspelling recognition system. We use 1320 fingerspelling images in …

Sign language (SL) is a non-verbal visual language used as a primary communication tool
by deaf or hearing-impaired community. Owing to availability of large number of SLs with …

Sign language (SL) is a type of communication language used by deaf and hard-of-hearing
people. Large varieties in different SLs and lack of knowledge in general public to interpret …

In the course of our research work, the American, Russian and Turkish sign languages were
analyzed. The program of recognition of the Kazakh dactylic sign language with the use of …

Abstract Russian Sign Language is a natural language that serves as a means of
communication for people with hearing impairments. Currently, it is necessary to provide …

Sign languages use hands, body movements, and facial expressions to deliver a message.
Developing a communication environment for the deaf community is a social and …

Soon, smartphones may be capable of allowing American Sign Language (ASL) signing
and/or fingerspelling for text entry. To explore the usefulness of this approach, we compared …