Vision-based hand gesture recognition involves a visual analysis of handshape, position
and/or movement. Most of the previous approaches require complex gesture representation …

The ability to discern the shape of hands can be a vital issue in improving the performance
of hand gesture recognition for human–computer interaction. Segmentation itself is a very …

Vision-based hand gesture recognition involves visual analysis of hand shape, position
and/or movement. Most of the previous approaches require complex gesture representation …

In recent technology, there is tremendous growth in computer applications that highlight
human–computer interaction (HCI), such as augmented reality (AR), and Internet of Things …

We propose a two‐stage convolutional neural network (CNN) architecture for robust
recognition of hand gestures, called HGR‐Net, where the first stage performs accurate …

Nowadays, hand gesture recognition has become an alternative for human-machine
interaction. It has covered a large area of applications like 3D game technology, sign …

Hand gestures are the most natural and intuitive non-verbal communica-tion medium while
using a computer, and related research efforts have recently boosted interest. Additionally …

The performance of Hand Gesture Recognition (HGR) depends on the hand shape.
Segmentation helps in the recognition of hand gestures for more accuracy and improves the …

Abstract Hand Gesture Recognition (HGR) refers to identifying various hand postures which
helps in nonverbal communication with humans or machines. It also finds various …

Hand segmentation and fingertip detection play an indispensable role in hand gesture-
based human-machine interaction systems. In this study, we propose a method to …