GazeSync synchronizes mobile gaze estimation with live image transformation matrices to reconstruct attention relative to dynamic visual content instead of static screen coordinates.
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cs.HC 3years
2026 3representative citing papers
GazeCode uses multi-digit recall tasks with anti-peripheral stimulus design to strengthen label validity in unsupervised mobile gaze data collection.
TinyHAR, a 46k-parameter time-series model, reaches Macro F1 0.960 on 5-way gaze gesture recognition and 0.997 on user identification using ARKit data in a 4-person pilot.
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TinyGaze: Lightweight Gaze-Gesture Recognition on Commodity Mobile Devices
TinyHAR, a 46k-parameter time-series model, reaches Macro F1 0.960 on 5-way gaze gesture recognition and 0.997 on user identification using ARKit data in a 4-person pilot.