Results 241 to 250 of about 123,392 (292)

Dynamic Hand Gesture Recognition Using Improved Spatio-Temporal Graph Convolutional Network

IEEE transactions on circuits and systems for video technology (Print), 2022
Hand gesture recognition is essential to human-computer interaction as the most natural way of communicating. Furthermore, with the development of 3D hand pose estimation technology and the performance improvement of low-cost depth cameras, skeleton ...
Jae-Hun Song, Kyeongbo Kong, Suk-Ju Kang
semanticscholar   +1 more source

Dynamic hand gesture recognition based on short-term sampling neural networks

IEEE/CAA Journal of Automatica Sinica, 2021
Hand gestures are a natural way for human-robot interaction. Vision based dynamic hand gesture recognition has become a hot research topic due to its various applications.
Wenjin Zhang, Jiacun Wang, Fangping Lan
semanticscholar   +1 more source

Hand gestures recognition classification

International Journal of Engineering Research Updates, 2022
The use of hand gestures for human-machine interaction offers an enticing alternative to bulky interface devices. The current study discusses the classification of gestures in real time and aims to create an algorithm capable of classifying gestural control commands accurately.
null Hind Ibrahim Mohammed, null Bashar Ahmed Sultan, null Khalid Hadi Hamee   +2 more
openaire   +1 more source

Human-Machine Interaction Sensing Technology Based on Hand Gesture Recognition: A Review

IEEE Transactions on Human-Machine Systems, 2021
Human machine interaction (HMI) is an interactive way of information exchange between human and machine. By collecting the information that can be conveyed by the person to express the intention, and then transforming and processing the information, the ...
Lin Guo, Zongxing Lu, Ligang Yao
semanticscholar   +1 more source

Multi-Sensor Guided Hand Gesture Recognition for a Teleoperated Robot Using a Recurrent Neural Network

IEEE Robotics and Automation Letters, 2021
Touch-free guided hand gesture recognition for human-robot interactions plays an increasingly significant role in teleoperated surgical robot systems. Indeed, despite depth cameras provide more practical information for recognition accuracy enhancement ...
Wen Qi, S. E. Ovur, Zhijun Li, Aldo Marzullo, Rong Song   +4 more
semanticscholar   +1 more source

Recognition of dynamic hand gestures

Pattern Recognition, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ramamoorthy, Aditya, Vaswani, Namrata, Chaudhury, Santanu, Banerjee, Subhashis   +3 more
openaire   +1 more source

A Systematic Review of Hand Gesture Recognition: An Update From 2018 to 2024

IEEE Access
Hand gesture is the main method of communication for people who are hearing-impaired, which poses a difficulty for millions of individuals worldwide when engaging with those who do not have hearing impairments. The significance of technology in enhancing
Abdirahman Osman Hashi, Siti Zaiton Mohd Hashim, Azurah Bte Asamah   +2 more
semanticscholar   +1 more source

Hand gesture recognition via enhanced densely connected convolutional neural network

Expert systems with applications, 2021
Hand Gesture Recognition (HGR) serves as a fundamental way of communication and interaction for human being. While HGR can be applied in Human Computer Interaction (HCI) to facilitate user interaction, it can also be utilized for bridging the language ...
Yong Soon Tan, K. Lim, C. Lee
semanticscholar   +1 more source

Dynamic hand gesture recognition

2016 International Conference on Signal and Information Processing (IConSIP), 2016
Recognition of dynamic gesture is one of the most challenging tasks in the computer vision. This paper deals with dynamic hand gesture (digits) recognition. The method consist of three fold novel contributions: firstly finding the flow of hand, secondly recognition technique of signs (Dynamic digits) and thirdly classification of gesture.
Rajeshree Rokade-Shinde, Jayashree Sonawane   +1 more
openaire   +1 more source

Interference-Robust Millimeter-Wave Radar-Based Dynamic Hand Gesture Recognition Using 2-D CNN-Transformer Networks

IEEE Internet of Things Journal
Dynamic gesture recognition using millimeter-wave radar has a broad application prospect in the industrial Internet of Things (IoT) field. However, the existing methods in the random dynamic interference environment, such as throwing objects and waving ...
Biao Jin, Xiao Ma, Zhenkai Zhang, Zhuxian Lian, Biao Wang   +4 more
semanticscholar   +1 more source