Because of using traditional hand-sign segmentation and classification algorithm, many
diversities of Bangla language including joint-letters, dependent vowels etc. and …

In this paper, we present approach for recognition of static fingerspelling in Japanese Sign
Language on RGB images. Two 3D articulated hand models have been developed to …

Automatic fingerspelling recognition aims to overcome communication barriers between
people who are deaf and those who can hear. RGB-D cameras are widely used to handle …

In this paper, we present a framework for recognition of static finger spelling in Japanese
Sign Language on RGB images. The finger spelled signs were recognized by an ensemble …

Automatic fingerspelling recognition tackles the communication barrier between deaf and
hearing individuals. However, the accuracy of fingerspelling recognition is reduced by high …

This paper is devoted to finger spelling recognition on the basis of images acquired by a
single color camera. The recognition is realized on the basis of learned low-dimensional …

In this work we extend WGAN-GP in order to achieve better generation of synthesized
images for finger spelling classification. The main difference between the ordinary WGAN …

Nowadays, there is a need to develop efficient and intuitive solutions such as hand gestures
recognition for the Human-machine interaction. This paper presents a hand gestures …

Although great progress has been made by leveraging the use of sensors in various fields
like human body tracking, robust, accurate, and efficient hand gesture recognition still …

Abstract The continuous Sign Language recognition (SLR) system suffers from a problem
called movement epenthesis (me) which involves certain intermediate connecting …