The ability of computers to recognise hand gestures visually is essential for progress in
human–computer interaction. Gesture recognition has applications ranging from sign …

This paper presents a literature review on the use of depth for hand tracking and gesture
recognition. The survey examines 37 papers describing depth-based gesture recognition …

Developing successful sign language recognition, generation, and translation systems
requires expertise in a wide range of fields, including computer vision, computer graphics …

Sign language recognition is a challenging and often underestimated problem comprising
multi-modal articulators (handshape, orientation, movement, upper body and face) that …

The communication between a person from the impaired community with a person who does
not understand sign language could be a tedious task. Sign language is the art of conveying …

In this paper, we develop a vision-based system that employs a combined RGB and depth
descriptor to classify hand gestures. The method is studied for a human-machine interface …

Three-dimensional hand gesture recognition has attracted increasing research interests in
computer vision, pattern recognition, and human-computer interaction. The emerging depth …

This paper discusses the development of a natural gesture user interface that tracks and
recognizes in real time hand gestures based on depth data collected by a Kinect sensor …

This work presents a meta study covering around 300 published sign language recognition
papers with over 400 experimental results. It includes most papers between the start of the …

Real-time hand posture capture has been a difficult goal in computer vision. The extraction
of hand skeleton parameters would be an important milestone for sign language recognition …