In the past years, the recognition of gesture feature has been glamoured attention as a
natural human. The communication system can build the human relationships. The mode of …

Extensive research has been done using machine learning techniques for hand gesture
recognition (HGR) using camera-based devices; such as the Leap Motion Controller (LMC) …

This paper presents a method for recognizing human-hand postures in real time, even if
environment light cannot be configured appropriately. The key technology is a monochrome …

The objective of this research is to develop a supervised machine learning hand-gesturing
model to recognize Arabic Sign Language (ArSL), using two sensors: Microsoft's Kinect with …

Dynamic hand gestures have become increasingly popular as an input modality for
interactive systems. There exists a variety of arm-worn devices for the recognition of hand …

Finishing this thesis marks the end of two years of education at Tilburg University. I decided
to study the Human Aspects of Information Technology Master's program in order to learn …

手势识别成为未来人机交互的重要方式, 本文主要对复杂背景下手指数量的检测方法进行研究.
首先通过对比分析不同颜色空间下的手势区域提取方法, 提出一种基于HS-CrCb …

针对面向移动终端的微手势识别需求, 本文介绍了一种基于HTML5, Javascript 和webRTC
框架的移动web 端的微手势识别系统. 系统通过移动终端摄像头获取视频信息 …

The ability to remotely control a robotic arm through a human one is essential where human
involvement is needed but physical presence is not possible. Control provided through …

Vision based hand gesture recognition is becoming a hot research field. This paper
proposes a novel static hand gesture recognition method based on combinational features …