Skeleton data from hand gestures is fused into RGB images and classified by an e2eET multi-stream CNN, yielding competitive accuracy on five datasets and real-time operation on consumer hardware.
HAN: An Efficient Hierarchical Self-Attention Network for Skeleton-Based Gesture Recognition,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2024 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Real-Time Hand Gesture Recognition: Integrating Skeleton-Based Data Fusion and Multi-Stream CNN
Skeleton data from hand gestures is fused into RGB images and classified by an e2eET multi-stream CNN, yielding competitive accuracy on five datasets and real-time operation on consumer hardware.