Federated Learning-based Framework for Cross-Environment Human Action Recognition Using Wi-Fi Signal
Author:
Affiliation:
1. Beijing University of Posts and Telecommunications,Beijing,China
2. China Telecom Research Institute,Mobile and Terminal Technology Research Department,Beijing,China
3. Beijing Institute of Technology,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10464388/10464393/10465134.pdf?arnumber=10465134
Reference22 articles.
1. Integrating Sensing and Communications for Ubiquitous IoT: Applications, Trends, and Challenges
2. Survey of human action recognition algorithm based on vision;Chen;Application Research of Computers,2019
3. Human activity recognition using wearable sensors: Review, challenges;Abdel-Salam;evaluation benchmark,2021
4. On the Fundamental Tradeoff of Integrated Sensing and Communications Under Gaussian Channels
5. Integrated sensing and communications: Recent advances and ten open challenges;Lu;arXiv preprint,2023
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1. Revolutionizing Human Action Prediction and Detection through Extended Transfer Learning: A Novel Approach for Cross-Domain Knowledge Integration;2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT);2024-05-02
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