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Aug 2, 2023 · We propose a fast-response graph convolutional network (GCN) for body–hand gesture recognition. First, we propose a dynamic-static parallel network for dynamic ...
First, we propose a dynamic-static parallel network for dynamic body gestures that is responsive and accurate. Second, we propose a spatiotemporal graph ...
Jan 19, 2024 · In this article, we propose a fast-response GCN network capa- ble of recognizing both body and hand gestures simultaneously to address the ...
Jul 17, 2024 · Studies from Hunan University Describe New Findings in Robotics (A Fast-response Dynamic-static Parallel Attention Gcn Network for Body-hand ...
A Fast-Response Dynamic-Static Parallel Attention GCN Network for Body-Hand Gesture Recognition in HRI. IEEE Trans. Ind. Electron. 71(6): 5993-6004 (2024).
A Fast-Response Dynamic-Static Parallel Attention GCN Network for Body–Hand Gesture Recognition in HRI. X Guo, Q Zhu, Y Wang, Y Mo, J Sun, K Zeng, M Feng.
A parallel dual-hand detection and distinction method that combines the features of hands with the relationship features between the dual hands and body ...
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Hand gestures have been widely applied to interface as the way of interaction between human and computers. Since a human hand can express various shapes of ...
Apr 10, 2024 · In this work, we address the Ultra-Range Gesture Recognition (URGR) problem by aiming for a recognition distance of up to 25 meters and in the context of HRI.
A slow-fast double-scale parallel network is proposed to extract the temporal dynamics of gestures. The attention mechanism is used to fuse the spatiotemporal.
Missing: Response Body-