Search

Owing to the development of research on local aggregation operators, dramatic breakthrough has been made in point cloud analysis models. However, existing local aggregation operators in the current literature fail to attach decent importance to the local information of the point cloud, which limits the power of the models. To fit this gap, we propose an efficient Vector Attention Convolution module (VAConv), which utilizes K-Nearest Neighbor (KNN) to extract the neighbor points of each input point, and then uses the elevation and azimuth relationship of the vectors between the center point and its neighbors to construct an attention weight matrix for edge features. Afterwards, the VAConv adopts a dual-channel structure to fuse weighted edge features and global features. To verify the efficiency of the VAConv, we connect the VAConvs with different receptive fields in parallel to obtain a Multi-scale graph convolutional network, VA-GCN. The proposed VA-GCN achieves state-of-the-art performance on standard benchmarks including ModelNet40, S3DIS and ShapeNet. Remarkably, on the ModelNet40 dataset for 3D classification, VA-GCN increased by 2.4% compared to the baseline., Comment: 12 pages, 5 figures

The Tujia hand-waving dance is an important intangible cultural heritage that is in danger of being lost, and its protection is urgent. In this article, the dance movement learning method, game-based learning concept, and evaluation are integrated in the Personal Active Choreographer (PAC) system for hand-waving dance learning. In this research, the Microsoft Kinect 2.0 was used as a game-based device to recognize and capture the movement of the user. This study was aimed at using the PAC system to improve the learning performance of the hand-waving dance, which is intended to popularize and protect it. Based on a quasi-experiment involving 60 students (average age 21.03 years), the results showed that the participants who used the PAC approach demonstrated significantly better performance and higher learning satisfaction than those who used the traditional video-instructed approach.