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Heterogeneous Hyper-Graph Neural Networks for Context-aware Human Activity Recognition

Retrieved on: 2024-10-28 10:09:30

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Summary

The article discusses utilizing Graph Neural Networks (GNNs) in context-aware Human Activity Recognition by modeling activity and phone placement as a heterogeneous hypergraph. This enhances feature learning and recognition performance, integrating concepts like graph theory and contextual awareness.

Article found on: ui.adsabs.harvard.edu

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