This paper investigated the effects of variant lighting conditions on the recognition process.
A framework is proposed to improve the performance of gesture recognition under variant …

In this study, the impact of varying lighting conditions on recognition and decision‐making
was considered. The luminosity approach was presented to increase gesture recognition …

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 …

Computer vision has spread over different domains to facilitate difficult operations. It works
as the artificial eye for many industrial applications to observe elements, process …

The American Sign Language (ASL) is a complex language depends on a special gesture
stander of marks. These marks are represented by hands with assistance by facial …

Human gesture recognition is one of the most challenging problems in computer vision,
striving to analyze human gestures by machine. However, most of the literature on gesture …

Hand gestures are commonly used for communication between both impaired community
and normal people. Sign languages stand for the human languages of deaf people. They …

Communication for mute people has always been very difficult. Mute people use hand
gestures, also known as sign language to communicate with normal people. Hands gestures …

With the development of multimedia technology, traditional interactive tools, such as mouse
and keyboard, cannot satisfy users' requirements. Touchless interaction has received …

As an essential requirement of pervasive smart devices, free hand gestural input considered
as necessary for user interactions has attracted lots of research attention for nearly decades …