CeHAR: CSI-Based Channel-Exchanging Human Activity Recognition-Reference-Cited by-同舟云学术

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CeHAR: CSI-Based Channel-Exchanging Human Activity Recognition

Published:2023-04-01 Issue:7 Volume:10 Page:5953-5961
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Lu Xiao¹^ORCID,Li Yuli²^ORCID,Cui Wei³^ORCID,Wang Haixia²

Affiliation:

1. College of Energy Storage Technology, Shandong University of Science and Technology, Qingdao, China

2. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China

3. Institute for Infocomm Research, Agency for Science, Technology and Research, Fusionopolis, Singapore

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Natural Science Foundation of Shandong Province for Innovation and Development Joint Funds

Taishan Scholarship Construction Engineering

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/6488907/10079218/09961869.pdf?arnumber=9961869

Reference35 articles.

1. CSI Phase Fingerprinting for Indoor Localization With a Deep Learning Approach

2. BeAware: Convolutional neural network(CNN) based user behavior understanding through WiFi channel state information

3. PhaseU: Real-time LOS identification with WiFi

4. Tool release

Cited by 6 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. Human activity recognition: A comprehensive review;Expert Systems;2024-07-27

2. Human Activity Recognition Using Wi-Fi Signals based on Tokenized Signals with Attention;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

3. Wi-CHAR: A WiFi Sensing Approach with Focus on Both Scenes and Restricted Data;Sensors;2024-04-08

4. AROS: human action recognition by spatio-temporal fusion mechanism based on optimised subcarriers;International Journal of Sensor Networks;2024

5. Performance Evaluation of Machine/Deep Learning-Based Object Recognition Techniques Leveraging Channel State Information Using a Real Testbed;IEEE Access;2024

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