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On the Effect of Training Convolution Neural Network for Millimeter-Wave Radar-Based Hand Gesture Recognition

The purpose of this paper was to investigate the effect of a training state-of-the-art convolution neural network (CNN) for millimeter-wave radar-based hand gesture recognition (MR-HGR). Focusing on the small training dataset problem in MR-HGR, this paper first proposed to transfer the knowledge wit...

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Опубликовано в: :Sensors (Basel)
Главные авторы: Zhang, Kang, Lan, Shengchang, Zhang, Guiyuan
Формат: Artigo
Язык:Inglês
Опубликовано: MDPI 2021
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Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7796334/
https://ncbi.nlm.nih.gov/pubmed/33401744
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21010259
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