Enhancing human behavior recognition with spatiotemporal graph convolutional neural networks and skeleton sequences
This study aims to enhance supervised human activity recognition based on spatiotemporal graph convolutional neural networks by addressing two key challenges: (1) extracting local spatial feature information f...