Towards CSI-based diversity activity recognition via LSTM-CNN encoder-decoder neural network

Human activity recognition using WiFi signals is widespread for smart-environment sensing domain in recent years. Existing researches use learning-based methods to obtain several features of activity data and then recognize human activities. As we know, propagation characteristics of WiFi signals ar...

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Vydáno v:	Neurocomputing (Amsterdam) Ročník 444; s. 260 - 273
Hlavní autoři:	Guo, Linlin, Zhang, Hang, Wang, Chao, Guo, Weiyu, Diao, Guangqiang, Lu, Bingxian, Lin, Chuang, Wang, Lei
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 15.07.2021
Témata:	Channel state information Convolutional neural network Human activity recognition Long short term memory WiFi signals WiFi signals Human activity recognition Convolutional neural network Channel state information Long short term memory
ISSN:	0925-2312, 1872-8286
On-line přístup:	Získat plný text
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