Context-Aware Faster RCNN for CSI-Based Human Action Perception

Author:

Sheng Biyun1ORCID,Xiao Fu1ORCID,Gui Linqing1,Guo Zhengxin1

Affiliation:

1. School of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China

Funder

National Natural Science Foundation of China

National Science Fund for Distinguished Young Scholars of China

Key Program of the National Natural Science Foundation of China

National Science Foundation for Excellent Young Scholars of Jiangsu Province

Key Research and Development Program of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Signal Processing,Control and Systems Engineering,Human Factors and Ergonomics

Reference33 articles.

1. Temporal unet: Sample level human action recognition using WiFi;wang,2019

2. Exploring Temporal Preservation Networks for Precise Temporal Action Localization

3. R-C3D: Region Convolutional 3D Network for Temporal Activity Detection

4. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

5. Two-stream convolution augmented transformer for human activity recognition;li bing;Proc AAAI Conf Artif Intell,0

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