… to detect the pose of some body parts. In this paper we propose a method based on a neural
network to detect in real time the hand pose, to recognize whether it is closed or not. The …

… —Extracting robust features and precisely recognizing hand postures … of hand posture
recognition from two sides. On one side, we present a new hand detection algorithm using Kinect. …

… a general introduction to hand posture recognition and convolutional neural networks. … With
advances in portable 3D cameras, such as Kinect TM and RealSense TM , it is now possible …

… when using more views. In this paper, we propose a 3D CNN-based hand pose estimation
… Zhang, “Robust part-based hand gesture recognition using kinect sensor,” IEEE Trans. …

… detection and hand gesture recognition in real-time using an RGB-D camera and a 3D
convolution neural network (… In this work, the Kinect V2 sensor can extract skeleton information for …

… techniques for vision-based hand gesture recognition is presented. The study includes the
… work, the Kinect V2 depth sensor is used to develop the proposed hand gesture recognition …

… With the release of Kinect, libraries for basic hand gesture recognition tasks have been … [10]
fit a neural network into the detected hand region. They recognize the hand gesture using the …

… hand localization and tracking. The aim of this study is to develop a new trajectory-based
method for hand gesture recognition using Kinect. … real time constraints, using Microsoft Kinect …

… We use the joint estimates produced by Kinect as a ground truth. We made sure that the data
was recorded in a such way, that the error in the joint estimations is minimal. Practically this …

… gesture recognition based on deep learning using only a simple LeNet [11]. This touchless
hepatic surgery-support system was trained with an existing dataset of limited hand gestures […