Toward action recognition and assessment using SFAGCN and combinative regression model of spatiotemporal features
- 21 April 2022
- journal article
- research article
- Published by Springer Nature in Applied Intelligence
- Vol. 53 (1) , 757-768
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (61972267)
- Natural Science Foundation of Hebei Province (F2019210306)
This publication has 33 references indexed in Scilit:
- Enhanced skeleton visualization for view invariant human action recognitionPattern Recognition, 2017
- Learning to Score Olympic Events2017
- Interpretable 3D Human Action Analysis with Temporal Convolutional Networks2017
- Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition2016
- Segmental Spatiotemporal CNNs for Fine-Grained Action Segmentation2016
- Automated video-based assessment of surgical skills for training and evaluation in medical schoolsInternational Journal of Computer Assisted Radiology and Surgery, 2016
- NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis2016
- Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group2014
- Quaternionic Signal Processing Techniques for Automatic Evaluation of Dance Performances From MoCap DataIEEE Transactions on Multimedia, 2014
- Assessing the Quality of Actions2014