Nowadays, deep learning has achieved remarkable results in many computer vision related
tasks, among which the support of big data is essential. In this paper, we propose a full stage …

Gesture recognition is one of the most popular techniques in the field of computer vision
today. In recent years, many algorithms for gesture recognition have been proposed, but …

Sign language recognition is one of the fundamental ways to assist deaf people to
communicate with others. An accurate vision-based sign language recognition system using …

Communication by speaking prevails among the various ways of self-expression and
communication between people. Speech presents a significant challenge for some disabled …

Vision-based hand gesture recognition (HGR) system provides the most effective and
natural way of interaction between humans and machines. However, the recognition …

Hand gesture recognition is an area of study that attempts to identify human gestures
through mathematical algorithms, and can be used in several fields, such as communication …

The static hand gesture recognition under simple or complex background has become
mature, but the dynamic hand gesture recognition against simple background is still …

Deep convolutional neural network used for image classification is an important part of deep
learning and has great significance in the field of computer vision. Moreover, it helps …

Hand posture recognition (HPR), one of the most effective and intuitive human computer
interfaces, has been extensively studied and widely adopted in various multimedia …

In the recent years, air pollution is a very serious problem in China and elsewhere, and it is a
factor that significantly affects the quality of human health. Fine particulate matter (PM2. 5) is …