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 …

This book originates from three-dimensional data processing research in the Multimedia
Technology and Telecommunications Laboratory (LTTM) at the Department of Information …

Autism Spectrum Disorder (ASD) impacts 1 in 54 children in the US. Two-thirds of children
with ASD display problem behavior. If a caregiver can predict that a child is likely to engage …

This paper presents a novel approach for performing intuitive gesture-based interaction
using depth data acquired by Kinect. The main challenge to enable immersive gestural …

When the hand and the forearm enter the available depth range of the depth camera, the
data of the hand and the forearm will be extracted together. If process these data as a whole …

In this paper, we develop an effective method of detecting and tracking hands in
uncontrolled videos based on multiple cues including hand shape, skin color, upper body …

Human hand detection can enable human to communicate with a machine and interact
without any external device. Human hands play an important role in different applications …

Handshape recognition is an important problem in computer vision with significant societal
impact. However, it is not an easy task, since hands are naturally deformable objects …

This paper presents an innovative system for industrial robot manipulation through 3D hand
gestures. The interaction between the human operator and the robotic system is done via a …