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arXiv · 2606.31211

AA: A Multi-view Multimodal Dataset for Screen-based Gaze Estimation

Chang Liu·Jiaqi Liu·Zhoutong Ye·Xinjie Shen·Chun Yu·Yuanchun Shi
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Abstract

We present AA, a multi-view multimodal dataset for screen-based gaze estimation. The dataset captures synchronized facial observations from eight fixed screen-mounted cameras and two additional side-view cameras, paired with precise screen-space gaze targets collected under controlled fixation conditions. Each sample contains multi-view face observations together with structured facial region crops, enabling multimodal learning from both global and local visual cues. Unlike existing single-view gaze datasets, AA provides multi-view coverage from both screen-mounted and side-mounted perspectives, enabling more robust modeling under viewpoint variation and occlusion. The dataset includes subject-independent evaluation splits and a standardized data processing pipeline to support reproducible research in gaze estimation.

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Chang Liu, Jiaqi Liu, Zhoutong Ye, Xinjie Shen, Chun Yu, Yuanchun Shi. 2026-06-30. AA: A Multi-view Multimodal Dataset for Screen-based Gaze Estimation. https://arxiv.org/abs/2606.31211

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