MoGaze is a dataset of full-body motion for everyday manipulation tasks, which includes 1) long sequences of manipulation tasks, 2) the 3D model of the workspace geometry, and 3) eye-gaze. The motion data was captured using a traditional motion capture system based on reflective markers. The eye-gaze was captured using a wearable pupil-tracking device.
The dataset includes 180 min of motion capture data with 1627 pick and place actions being performed.
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