Real-Time Quantification of Group Attention via Multimodal Sensors and Spatio-Temporal GNN

Key Points

• The aim is to develop a method for real-time quantification of group attention using advanced sensor technologies.
• Utilized multimodal sensors to capture diverse data on group attention.
• Implemented spatio-temporal graph neural networks (GNN) for data analysis and processing.
• Conducted real-time analysis to provide immediate feedback on group attention levels.
• Demonstrated effective real-time tracking of group attention with high accuracy.
• Showed significant improvements in attention measurement compared to traditional methods.