Feb 5, 2024 · To solve these problems, an improved algorithm based on ST-GCN is proposed in this paper. Firstly, the direct relation of each node is ...

To solve these problems, an improved algorithm based on ST-GCN is proposed in this paper. Firstly, the direct relation of each node is determined in the spatial ...

Feb 5, 2024 · The results demonstrate that the algorithm has achieved an increase of approximately 5% in recognition accuracy compared to its pre-improvement ...

Mar 30, 2024 · This method improves the efficiency of human pose estimation models based on GCN. •. This method solves the problems of low accuracy in action ...

May 7, 2024 · This study aims to enhance supervised human activity recognition based on spatiotemporal graph convolutional neural networks by addressing ...

An improved ST-GCN model combined with the Alphapose posture estimation algorithm was proposed to intelligently monitor and identify the abnormal behavior of ...

Apr 21, 2024 · This paper extends the Spatial-Temporal Graph Convolutional Network (ST-GCN) for skeleton-based action recognition by introducing two novel ...

This work proposes an extended skeleton graph topology along with extended partitioning strategy to extract much of the non-adjacent joint relational ...

Article "Human behavior recognition algorithm based on improved ST-GCN" Detailed information of the J-GLOBAL is an information service managed by the Japan ...

Human recognition models based on spatial-temporal graph convolutional neural networks have been gradually developed, and we present an improved ...