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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) |
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| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI
2021
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| Предметы: | |
| 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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