CZ-Base: A Database for Hand Gesture Recognition in Chinese Zither Intelligence EducationTraining proper hand shapes is the key to learning a musical instrument, and a timely feedback plays an important role in improving the efficiency for trainees. In this paper, we establish a comprehensive ...
In this paper, we propose a human-computer interaction (HCI) system for entertainment or education via a depth-sensing camera. The whole system is comprised of three modules: hand detection, hand tracking, and gesture recognition. In our system, specifically, hand detection is based entirely on ...
RECOGNITION OF HAND GESTURE BASED ON GAUSSIAN MIXTURE MODEL
As robots have become more pervasive in our daily life, natural human-robot interaction (HRI) has had a positive impact on the development of robotics. Thus, there has been growing interest in the development of vision-based hand gesture recognition for HRI to bridge human-robot barriers. The ...
We present an on-device real-time hand gesture recognition (HGR) system, which detects a set of predefined static gestures from a single RGB camera. The system consists of two parts: a hand skeleton tracker and a gesture classifier. We use MediaPipe Hands as the basis of the hand skeleton...
Hand gesture recognition is a popular topic in computer vision and makes human-computer interaction more flexible and convenient. The representation of hand gestures is critical for recognition. In this paper, we propose a new method to measure the simil
The recent introduction of novel acquisition devices, like the leap motion controller, allows obtaining a very informative description of the hand pose and motion that can be exploited for accurate gesture recognition. In this work, we present an interactive application with gestural hand control ...
This paper presents a novel hand gesture interface system via a depth imaging sensor for appliances control in smart home environments. To control appliances with hand gestures, we recognize the hand parts in a depth hand silhouette and generate control commands. In our methodologies, we first crea...
Designing efficient and labor-saving prosthetic hands requires powerful hand gesture recognition algorithms that can achieve high accuracy with limited complexity and latency. In this context, the paper proposes a Compact Transformer-based Hand Gesture Recognition framework referred to as CT-HGR, which em...
A method for hand gesture recognition based on morphology and Fingertip-Angle This paper proposes an automatic method to recognize the hand in complex background. With this method, contour of hand in pictures can be figured out and t... X Wen,Y Niu - International Conference on Computer & ...