This paper reviewed the sign language research in the vision-based hand gesture
recognition system from 2014 to 2020. Its objective is to identify the progress and what …

Despite the importance of sign language recognition systems, there is a lack of a Systematic
Literature Review and a classification scheme for it. This is the first identifiable academic …

Recent development of low cost depth sensors such as Leap motion controller and Microsoft
kinect sensor has opened up new opportunities for Human-Computer-Interaction (HCI). In …

As the need for sensors increases with the inception of virtual reality, augmented reality and
mixed reality, the purpose of this paper is to evaluate the suitability of the two Kinect devices …

In this paper, we propose a novel multimodal framework for isolated Sign Language
Recognition (SLR) using sensor devices. Microsoft Kinect and Leap motion sensors are …

In the recent past, research in the field of automatic sign language recognition using
machine learning methods have demonstrated remarkable success and made momentous …

Sign languages are used by the deaf community around the globe to communicate with one
another. These are gesture-based languages where a deaf person performs gestures using …

In this work, we show that a late fusion approach to multimodality in sign language
recognition improves the overall ability of the model in comparison to the singular …

Every one of us has a unique manner of communicating to explore the world, and such
communication helps to interpret life. Sign language is the popular language of …

Hearing and speech impaired people use Sign Language to convey their message to
normal people. Sign Language has evolved as one of the major areas of research and study …