An Online Application of a 3D BCI Combined with Virtual Reality for Virtual Arm Control

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Abstract

Non-invasive electroencephalogram (EEG) brain-computer interfaces (BCIs) can achieve three-dimensional (3D) control using only brain signals. Motion trajectory prediction (MTP) is a method that can be used for estimating imagined movement into direct limb control. This process requires capture of actual kinematic motion trajectory in an experimental BCI setup to perform MTP. BCIs combined with virtual reality (VR) allows for natural, embodied limb feedback and has the potential to create improved experimental BCI setups through an increased presence in applications such as reach to target tasks. Here we present the experimental setup and initial results of a novel 3D BCI VR paradigm for virtual arm control.
Original languageEnglish
Publication statusPublished online - 12 Jul 2022
Event2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) - Glasgow, United Kingdom
Duration: 11 Jul 202215 Jul 2022

Conference

Conference2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Abbreviated titleEMBC
Country/TerritoryUnited Kingdom
CityGlasgow
Period11/07/2215/07/22

Keywords

  • brain-computer interface
  • Virtual Reality
  • Virtual Environment
  • 3D BCI
  • Embodiment
  • Spatial
  • Upper Limb
  • Kinematic
  • Visual Feedback
  • Motion Trajectory Prediction.

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