STC-NLSTMNet: An Improved Human Activity Recognition Method Using Convolutional Neural Network with NLSTM from WiFi CSI

STC-NLSTMNet: An Improved Human Activity Recognition Method Using Convolutional Neural Network with NLSTM from WiFi CSI

Human activity recognition (HAR) has emerged as a significant area of research due to its numerous possible applications, including ambient assisted living, healthcare, abnormal behaviour detection, etc. Recently, HAR using WiFi channel state information (CSI) has become a predominant and unique app...

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Bibliographic Details
Main Authors: Md Shafiqul Islam, Mir Kanon Ara Jannat, Mohammad Nahid Hossain, Woo-Su Kim, Soo-Wook Lee, Sung-Hyun Yang
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
human activity recognition (HAR)
channel state information (CSI)
deep learning (DL)
nested long short-term memory (NLSTM)
Online Access:https://www.mdpi.com/1424-8220/23/1/356

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https://www.mdpi.com/1424-8220/23/1/356

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