Towards pen‐holding hand pose recognition: A new benchmark and a coarse‐to‐fine PHHP recognition network
Author:
Affiliation:
1. School of Computer Science and Technology Guangdong University of Technology Guangzhou China
2. Department of Computer and Information Science University of Macau Taipa Macau China
Publisher
Institution of Engineering and Technology (IET)
Subject
Computer Vision and Pattern Recognition,Signal Processing,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/bme2.12079
Reference30 articles.
1. Deep Learning-based Hand Pose Estimation from 2D Image
2. Human hand gesture recognition with convolutional neural networks for K-12 double-teachers instruction mode classroom
3. Generalized Feedback Loop for Joint Hand-Object Pose Estimation
4. Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in Time
5. HOT-Net: Non-Autoregressive Transformer for 3D Hand-Object Pose Estimation
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1. Development of a real-time pen-holding gesture recognition system based on improved YOLOv8;2023 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML);2023-11-03
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3. High Speed and Accuracy of Animation 3D Pose Recognition Based on an Improved Deep Convolution Neural Network;Applied Sciences;2023-06-27
4. Digital-Pen: An Interactive System for Correcting Writing Posture of Primary School Students;Entertainment Computing – ICEC 2022;2022
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