Dynamic Gesture Recognition Model Based on Millimeter-Wave Radar With ResNet-18 and LSTM

In this article, a multi-layer convolutional neural network (ResNet-18) and Long Short-Term Memory Networks (LSTM) model is proposed for dynamic gesture recognition. The Soli dataset is based on the dynamic gesture signals collected by millimeter-wave radar. As a gesture sensor radar, Soli radar has...

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Bibliografiska uppgifter

Huvudupphov:	Yongqiang Zhang, Lixin Peng, Guilei Ma, Menghua Man, Shanghe Liu
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Frontiers Media S.A. 2022-06-01
Serie:	Frontiers in Neurorobotics
Ämnen:	gesture recognition millimeter-wave radar ResNet-18 LSTM Human-Computer Interaction
Länkar:	https://www.frontiersin.org/articles/10.3389/fnbot.2022.903197/full
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