One of the major challenges that deaf people face in modern societal life is communication.
For those engaged in agricultural jobs, efficiency at work and productivity are deeply related …

A two stage real-time hand gesture recognition system is presented. It combines a machine
learning trained detection step with a colour processing contour shape validation step. The …

Gesture recognition has always been one of the important research directions in the field of
computer vision. The dynamic gesture has the problems of complex backgrounds and many …

With the development of science and technology and the intensification of the aging of the
world's population, elderly care robots have begun to enter people's lives. However, the …

Movement recognition is a hot issue in machine learning. The gesture recognition is related
to video processing, which gives problems in various aspects. Some of them are separating …

The rapid increase in the elderly and disabled population has been identified as a growing
socioeconomic problem. Due to reasons such as a lack of reliable caretakers and the need …

随着计算机视觉研究的迅速发展, 动态手势识别在人机交互, 智能驾驶, 虚拟现实等领域得到了
广泛的应用. 为了解动态手势识别的发展现状, 通过对近年来动态手势识别算法的研究 …

The topic of this thesis is Hand Gesture Recognition and Hand Tracking for user interface
applications. 3 systems were produced, as well as datasets for recognition and tracking …

Sign language is the essential communicating tool for deaf and non-verbal people. Using
sign language, deaf and mute people can communicate among themselves but they find it …

Our research concerns a hand gesture recognition framework that makes use of a low cost
“off-the-shelf” device. The device is a visual markerless sensor system called the Leap …