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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3 Pith papers cite this work. Polarity classification is still indexing.
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cs.HC 3years
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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.
citing papers explorer
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GazeSync: A Mobile Eye-Tracking Tool for Analyzing Visual Attention on Dynamically Manipulated Content
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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GazeCode: Recall-Based Verification for Higher-Quality In-the-Wild Mobile Gaze Data Collection
GazeCode uses multi-digit recall tasks with anti-peripheral stimulus design to strengthen label validity in unsupervised mobile gaze data collection.
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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.