Gesture recognition based on multi‐modal feature weight

H Duan, Y Sun, W Cheng, D Jiang… - Concurrency and …, 2021 - Wiley Online Library
With the continuous development of sensor technology, the acquisition cost of RGB‐D
images is getting lower and lower, and gesture recognition based on depth images and Red …

Gesture recognition based on multilevel multimodal feature fusion

J Tian, W Cheng, Y Sun, G Li, D Jiang… - Journal of Intelligent …, 2020 - content.iospress.com
With the development of human-computer interaction, gesture recognition has gradually
become one of the research hotspots. The cost reduction and the richer information of RGB …

Gesture recognition algorithm based on multi‐scale feature fusion in RGB‐D images

Y Sun, Y Weng, B Luo, G Li, B Tao… - IET Image …, 2023 - Wiley Online Library
With the rapid development of sensor technology and artificial intelligence, the video gesture
recognition technology under the background of big data makes human‐computer …

Retracted: Gesture recognition algorithm based on multi‐scale feature fusion in RGB‐D images

Y Sun, Y Weng, B Luo, G Li, B Tao… - IET Image …, 2020 - Wiley Online Library
With the rapid development of sensor technology and artificial intelligence, the video gesture
recognition technology under the background of big data makes human–computer …

RGB‐D static gesture recognition based on convolutional neural network

B Xie, X He, Y Li - The Journal of Engineering, 2018 - Wiley Online Library
In the area of human–computer interaction (HCI) and computer vision, gesture recognition
has always been a research hotspot. With the appearance of depth camera, gesture …

Large-scale gesture recognition with a fusion of RGB-D data based on optical flow and the C3D model

Y Li, Q Miao, K Tian, Y Fan, X Xu, Z Ma, J Song - Pattern recognition letters, 2019 - Elsevier
Gesture recognition has attracted great attention owing to its applications in many fields
such as Human Computer Interaction. However, in video-based gesture recognition, some …

Large-scale gesture recognition with a fusion of RGB-D data based on saliency theory and C3D model

Y Li, Q Miao, K Tian, Y Fan, X Xu, R Li… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Gesture recognition has raised wide attention in computer vision owing to its many
applications. However, the task of video-based large-scale gesture recognition yet faces …

Research on transfer learning of vision-based gesture recognition

BX Wu, CG Yang, JP Zhong - International Journal of Automation and …, 2021 - Springer
Gesture recognition has been widely used for human-robot interaction. At present, a
problem in gesture recognition is that the researchers did not use the learned knowledge in …

Fusing multiple features for depth-based action recognition

Y Zhu, W Chen, G Guo - ACM Transactions on Intelligent Systems and …, 2015 - dl.acm.org
Human action recognition is a very active research topic in computer vision and pattern
recognition. Recently, it has shown a great potential for human action recognition using the …

Subset based deep learning for RGB-D object recognition

J Bai, Y Wu, J Zhang, F Chen - Neurocomputing, 2015 - Elsevier
RGB-D camera can easily record both color and depth images and previous works have
proved that combining them together could dramatically improve the RGB-D based object …