Research in automatic analysis of sign language has largely focused on recognizing the
lexical (or citation) form of sign gestures as they appear in continuous signing, and …

This paper surveys the use of hand postures and gestures as a mechanism for interaction
with computers, describing both the various techniques for performing accurate recognition …

As computers become more pervasive in society, facilitating natural human–computer
interaction (HCI) will have a positive impact on their use. Hence, there has been growing …

Human action recognition (HAR) has a considerable place in scientific studies. Additionally,
hand gesture recognition, which is a subcategory of HAR, plays an important role in …

Gesture based human–computer interaction is both intuitive and versatile, with diverse
applications such as in smart houses, operating theaters and vehicle infotainment systems …

In recent years, research efforts seeking to provide more natural, human-centered means of
interacting with computers have gained growing interest. A particularly important direction is …

The work presented in this paper aims to develop a system for automatic translation of static
gestures of alphabets and signs in American sign language. In doing so, we have used …

In recent years, the field of Universal Access has made significant progress in consolidating
theoretical approaches, scientific methods and technologies, as well as in exploring new …

The sign language, considered as the main language for deaf and hard of hearing, uses
manual communication and body language to convey expressions and plays a major role in …

Static hand gesture (HG) recognition for both user-dependent and user-independent is a
challenging problem, especially when there are changes in lighting, hand position, and …