A Novel Lightweight Human Activity Recognition Method Via L-CTCN
Wi-Fi-based human activity recognition has attracted significant attention. Deep learning methods are widely used to achieve feature representation and activity sensing. While more learnable parameters in the neural networks model lead to richer feature extraction, it results in significant resource...
Main Authors: | Xue Ding, Zhiwei Li, Jinyang Yu, Weiliang Xie, Xiao Li, Ting Jiang |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-12-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/24/9681 |
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