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.
|Publication status||Published online - 12 Jul 2022|
|Event||2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) - Glasgow, United Kingdom|
Duration: 11 Jul 2022 → 15 Jul 2022
|Conference||2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)|
|Period||11/07/22 → 15/07/22|
- brain-computer interface
- Virtual Reality
- Virtual Environment
- 3D BCI
- Upper Limb
- Visual Feedback
- Motion Trajectory Prediction.