Published June 10, 2022 | Version 1.0.0
Dataset Open

Experimental data for the study: "Naturalistic visualization of reaching movements using head-mounted displays improves movement quality and proves high usability compared to conventional computer screens"

  • 1. Motor Learning and Neurorehabilitation Laboratory, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
  • 2. Gerontechnology & Rehabilitation, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland and Department of Neurology, University Neurorehabilitation, University Hospital Bern (Inselspital), University of Bern, Bern, Switzerland
  • 3. Motor Learning and Neurorehabilitation Laboratory, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland and Department of Cognitive Robotics, Delft University of Technology, Delft, Netherlands

Description

The datasets contains the motor performance metrics and the questionnaire responses for two experiments involving a motor task with a VR controller (experiment 1, healthy old participants) or a rehabilitation assistive device (experiment 2, brain-injured patients) and three visualization technologies: an immersive virtual reality (IVR) head-mounted display (HMD), an augmented reality (AR) HMD, and a computer screen (2D screen). The study was performed in the Motor Learning and Neurorehabilitation Laboratory at the University of Bern. All data are stored in “csv” files. The variables inside the files are explained in “DataFrameDescription.rtf”. For questions, please contact L.MarchalCrespo@tudelft.nl.

Files

ARVR2D_elderlies_DataCatchBased.csv

Files (1.7 MB)

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md5:d28ad703250a4d6db63f08e44a34191a
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md5:259f9653f3210f04742e797916f898e4
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md5:267c78029ee2379492c712607492110e
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md5:2a00e25cafb826889b5c29bc736aa295
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md5:34bb4436f35f8285a189c3b24e4b4b6c
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md5:788a16045189450c93928345b7de3b67
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md5:3cd108fbe71b996823b9f4146b78c822
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Additional details

Funding

Optimize Motor Learning to Improve Neurorehabilitation PP00P2_163800
Swiss National Science Foundation