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May 30, 2026International Journal of Sensor Networks0 citations

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

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HZHaoran ZhuBSBing Song

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.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Zhu et al. (2026) studied this question.

synapsesocial.com/papers/6a1a82640307b7850943409ehttps://doi.org/10.1504/ijsnet.2026.10078832
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