Introduction Hand gestures are an effective communication tool that may convey a wealth of
information in a variety of sectors, including medical and education. E-learning has grown …

Currently, gesture recognition is like a problem of feature extraction and pattern recognition,
in which a movement is labeling as belonging to a given class. A gesture recognition …

Gestures have been used for nonverbal communication for a long time, but human–
computer interaction (HCI) via gestures is becoming more common in the modern era. To …

In this paper, a new structure of deep learning neural network is introduced to identify the
static hand gesture in the sign language. The proposed structure includes the convolutional …

Dynamic hand gesture recognition is still an interesting topic for the computer vision
community. A set of feature vectors can represent any hand gesture. A Recurrent Neural …

Currently, research on gesture recognition systems has been on the rise due to the
capabilities these systems provide to the field of human–machine interaction, however …

Most of the available American Sign Language (ASL) words share similar characteristics.
These characteristics are usually during sign trajectory which yields similarity issues and …

One of the major challenges that deaf people face in modern societal life is communication.
For those engaged in agricultural jobs, efficiency at work and productivity are deeply related …

Driver distraction and fatigue have become one of the leading causes of severe traffic
accidents. Hence, driver inattention monitoring systems are crucial. Even with the growing …

Gesture recognition is widely used to express emotions or to communicate with other people
or machines. Hand gesture recognition is a problem of great interest to researchers because …