Efficient Human Action Recognition with Dual-Action Neural Networks for Virtual Sports Training
Author:
Affiliation:
1. ETRI,Creative Contents Research Division,Daejeon,South Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9954607/9954630/09954758.pdf?arnumber=9954758
Reference6 articles.
1. Application of Virtual Reality in Competitive Athletes – A Review
2. A Narrative Review of the Current State of Extended Reality Technology and How it can be Utilised in Sport
3. A Survey of Human Action Recognition Approaches that use an RGB-D Sensor
4. 3D Skeleton Tracking on Azure Kinect;liu;ICIP2019 Microsoft Industry Workshop–Machine Learning and Computer Vision Application,0
5. A survey on video-based Human Action Recognition: recent updates, datasets, challenges, and applications
Cited by 2 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. Hybrid Attention with CNN-BiLSTM and CBAM for Efficient Wearable Activity Recognition;2024 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON);2024-01-31
2. Shuffle Graph Convolutional Network for Skeleton-Based Action Recognition;Journal of Advanced Computational Intelligence and Intelligent Informatics;2023-09-20
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