Intelligent Multi-Participant Activity Recognition

Project Overview

Treating participants as graph nodes lets the model recognize shared and interacting activities that per-person classifiers cannot see. The framework employs DeepConvLSTM for spatiotemporal feature extraction and graph neural networks for inter-person relationship modeling, enabling accurate recognition of group activities and collaborative tasks in multi-person environments.