Data Augmentation and Dense-LSTM for Human Activity Recognition Using WiFi Signal

Zhang, J, Wu, F, Wei, B, Zhang, Q, Huang, H, Shah, Syed Wajid Ali and Cheng, J 2021, Data Augmentation and Dense-LSTM for Human Activity Recognition Using WiFi Signal, IEEE Internet of Things Journal, vol. 8, no. 6, pp. 4628-4641, doi: 10.1109/JIOT.2020.3026732.

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Title Data Augmentation and Dense-LSTM for Human Activity Recognition Using WiFi Signal
Author(s) Zhang, J
Wu, F
Wei, B
Zhang, Q
Huang, H
Shah, Syed Wajid Ali
Cheng, J
Journal name IEEE Internet of Things Journal
Volume number 8
Issue number 6
Start page 4628
End page 4641
Total pages 14
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2021
ISSN 2327-4662
2327-4662
Keyword(s) Channel state information (CSI)
data augmentation
human activity recognition
neural network
WiFi
Language eng
DOI 10.1109/JIOT.2020.3026732
Indigenous content off
Field of Research 0805 Distributed Computing
1005 Communications Technologies
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30149688

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