Environment-Robust WiFi-Based Human Activity Recognition Using Enhanced CSI and Deep Learning-Reference-Cited by-同舟云学术

Environment-Robust WiFi-Based Human Activity Recognition Using Enhanced CSI and Deep Learning

Author:

Shi Zhenguo¹^ORCID,Cheng Qingqing²^ORCID,Zhang J. Andrew¹^ORCID,Yi Da Xu Richard³^ORCID

Affiliation:

1. School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia

2. School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia

3. Department of Mathematics, Hong Kong Baptist University, Kowloon Tsai, Hong Kong

Funder

Australian Government through the Australian Research Council’s Discovery Projects Funding Scheme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

Reference40 articles.

1. Maximum permissible exposure report,2018

2. Cosine similarity metric learning for face verification;nguyen;Asian Conference on Computer Vision,2010

Cited by 18 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

3. RSCNet: Dynamic CSI Compression for Cloud-Based WiFi Sensing;ICC 2024 - IEEE International Conference on Communications;2024-06-09

4. Indoor positioning based on channel state information and deep learning domain adaptation;International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023);2024-03-27