BEOID

The wearable gaze tracker hardware (ASL Mobile Eye XG) was used to collect Egocentric video with synchronised gaze for multiple operators around a common environment. After calibration, the scene images are synchronised with, if available, 2D gaze points. Six locations were chosen: kitchen (K), workspace (W), laser printer (P), corridor with a locked door (D), cardiac gym (G) and weight-lifting machine (M) (Fig. 3). For the first four locations (K, W, P, D), sequences from five different operators were recorded, and from three operators for the last two locations (G, M). The sequences, 3D maps, and 3D object ground-truth are available.

搜集汇总

背景与挑战

背景概述

BEOID是一个自我中心视角的物体交互数据集，使用可穿戴眼动仪采集了6个不同场景下的同步视频和眼动数据，包含3D地图和物体标注信息。数据集由布里斯托大学于2014年发布，总大小4.6 GiB，采用非商业政府许可证。