In the realm of multimodal communication, sign language is, and continues to be, one of the
most understudied areas. In line with recent advances in the field of deep learning, there are …

Sign language is the art of communicating using hand gestures. The communication
between an impaired person and the one who doesn't understand sign language could be …

Gesture recognition remains a very challenging task in the field of computer vision and
human computer interaction (HCI). A decade ago the task seemed to be almost unsolvable …

The Sign language is a visual language used by the people with the speech and hearing
disabilities for communication in their daily conversation activities. It is completely an optical …

Automatic sign language recognition is an open problem that has received a lot of attention
recently, not only because of its usefulness to signers, but also due to the numerous …

We study the problem of recognizing video sequences of fingerspelled letters in American
Sign Language (ASL). Fingerspelling comprises a significant but relatively understudied part …

The paper presents a method for recognizing sequences of static letters of the Polish finger
alphabet using the point cloud descriptors: viewpoint feature histogram, eigenvalues-based …

Recognition of gesture sequences is in general a very difficult problem, but in certain
domains the difficulty may be mitigated by exploiting the domain's" grammar". One such …

We study the problem of recognition of fingerspelled letter sequences in American Sign
Language in a signer-independent setting. Fingerspelled sequences are both challenging …

Sign language is used by deaf and hard hearing people to exchange information between
their own community and with other people. Fingerspelling recognition method from isolate …