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bioRxiv · 10.1101/2024.01.30.577386

3D-ARM-Gaze: a public dataset of 3D Arm Reaching Movements with Gaze information in virtual reality

Lento, B.·Segas, E.·Leconte, V.·Doat, E.·Danion, F.·Peteri, R.·Benois Pineau, J.·de Rugy, A.
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Abstract

3D-ARM-Gaze is a public dataset designed to provide natural arm movements together with visual and gaze information when reaching objects in a wide reachable space from a precisely controlled, comfortably seated posture. Participants were involved in picking and placing objects in various positions and orientations in a virtual environment, whereby a specific procedure maximized the workspace explored while ensuring a consistent seated posture. The dataset regroups more than 2.5 million samples recorded from 20 healthy participants performing 14 000 single pick-and-place movements (700 per participant). While initially designed to explore novel prosthesis control strategies based on natural eye-hand and arm coordination, this dataset will also be useful to researchers interested in core sensorimotor control, humanoid robotics, human-robot interactions, as well as for the development and testing of associated solutions in gaze-guided computer vision.

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Lento, B., Segas, E., Leconte, V., Doat, E., Danion, F., Peteri, R., Benois Pineau, J., de Rugy, A.. 2024-01-31. 3D-ARM-Gaze: a public dataset of 3D Arm Reaching Movements with Gaze information in virtual reality. https://doi.org/10.1101/2024.01.30.577386

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