Hand Gesture Recognition On Dhg 28

Metrics

Accuracy

Results

Performance results of various models on this benchmark

		Paper Title
e2eET	92.38	Real-Time Hand Gesture Recognition: Integrating Skeleton-Based Data Fusion and Multi-Stream CNN
DD-Net	91.9	Make Skeleton-based Action Recognition Model Smaller, Faster and Better
FPPR-PCD	91.7	Fusing Posture and Position Representations for Point Cloud-Based Hand Gesture Recognition
TD-GCN	91.4	Temporal Decoupling Graph Convolutional Network for Skeleton-based Gesture Recognition
DG-STA	88	Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention
Parallel-Conv	84.35	Deep Learning for Hand Gesture Recognition on Skeletal Data
MFANet	80.32	Motion Feature Augmented Recurrent Neural Network for Skeleton-based Dynamic Hand Gesture Recognition

0 of 7 row(s) selected.