Human Action Recognition Utilizing Doppler-Enhanced Convolutional 3D Networks
Author:
Affiliation:
1. Inha University,Biomedical Science and Engineering, Industrial Engineering,Incheon,South Korea
2. School of Computer Science, Semyung University,Jecheon,South Korea,27136
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10488103/10488104/10488178.pdf?arnumber=10488178
Reference20 articles.
1. Revisiting Skeleton-based Action Recognition
2. Linguistic modelling of the theory of indistinct sets as the basis of the estimation of quality of formation;Yusupov;Young Scientist USA,2014
3. Human pose, hand and mesh estimation using deep learning: a survey
4. STM: SpatioTemporal and Motion Encoding for Action Recognition
5. AR3D: Attention Residual 3D Network for Human Action Recognition
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. DDC3N: Doppler-Driven Convolutional 3D Network for Human Action Recognition;IEEE Access;2024
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