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Table 3 Results on DHG-14/28 Dataset

From: Spatial temporal graph convolutional networks for skeleton-based dynamic hand gesture recognition

Method 14 gestures 28 gestures
SoCJ+HoHD+HoWR [16] 83.1 80.0
De Smedt et al. [6] 82.5 68.1
CNN + LSTM [9] 85.6 81.1
Chen et al. [11] 84.6 80.3
DPTC [18] 85.8 80.2
STA-Res-TCN [12] 89.2 85.0
HG-GCN 89.2 85.3
  1. The second column describes the accuracy rates of 14 gestures setting. The last column describes the accuracy rates of 28 gestures setting