The Microsoft Kinect sensor is largely used to detect and recognize body gestures and
layout with enough reliability, accuracy and precision in a quite simple way. However, the …

In this paper, we introduce a two-stage Hand Posture Recognition system using a Kinect
sensor. In the first stage, we propose an effective algorithm to segment hand region from …

This work proposes a study over five different hand gesture classifiers using depth and
skeleton data from the Kinect sensor. Evaluations of sensibility, specificity and computational …

This paper presents a Kinect based hand gesture recognition system that can effectively
recognize both one-hand and two-hand gestures. It is robust against the disturbance of …

This paper describes the approach used to detect hand postures in computationally
undemanding manner. The approach employs some features of the Microsoft Kinect sensor …

Hand pose estimation plays an important role in many applications, especially in human-
computer interaction. Therefore, this topic has matured quickly in recent years. In this work …

In this paper we propose a publicly available static hand pose database called OUHANDS
and protocols for training and evaluating hand pose classification and hand detection …

The recognition of hand gestures is a very interesting research topic due to the growing
demand in recent years in robotics, virtual reality, autonomous driving systems, human …

Hand pose and gesture recognition methods have been based on many properties of hand
images, but using finger recognition is unique. Here we describe hand pose from finger …

Depth sensors like Kinect can provide 2.5 D depth data, which shows a extreme difference
with regular color data. This paper proposes a simple and novel algorithm to perform hand …