Human Activities Recognition with Amplitude-Phase of Channel State Information using Deep Residual Networks
Author:
Affiliation:
1. Northwestern Polytechnical University,School of Electronic and Information,Xian,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10005874/10005887/10006309.pdf?arnumber=10006309
Reference12 articles.
1. E-eyes
2. Tool release
3. Activity Recognition Using the Joint of Wi-Fi 2.4G and 5G Frequency Bands;b;2021 IEEE 21st International Conference on Communication Technology (ICCT),2021
4. Understanding and Modeling of WiFi Signal Based Human Activity Recognition
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