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Energy-Efficient SNNs for Multimodal Student Engagement Proposed an SNN roadmap for multimodal student engagement analysis, optimizing for energy efficiency in real-time educational environments. |
High-Accuracy Drowsiness Detection via SNNs First-author research achieving 97.94% accuracy in drowsiness detection β reducing energy consumption by 61% vs. CNN baselines. |
| π 200+ | π₯ 10K+ | π― 97.94% | β‘ 61% |
|---|---|---|---|
| Global Users | Users Served | Detection Accuracy | Energy Reduction |
