Real-Time Navigation in Google Street View^® Using a Motor Imagery-Based BCI.

ABSTRACT: Navigation in virtual worlds is ubiquitous in games and other virtual reality (VR) applications and mainly relies on external controllers. As brain-computer interfaces (BCI)s rely on mental control, bypassing traditional neural pathways, they provide to paralyzed users an alternative way to navigate. However, the majority of BCI-based navigation studies adopt cue-based visual paradigms, and the evoked brain responses are encoded into navigation commands. Although robust and accurate, these paradigms are less intuitive and comfortable for navigation compared to imagining limb movements (motor imagery, MI). However, decoding motor imagery from EEG activity is notoriously challenging. Typically, wet electrodes are used to improve EEG signal quality, including a large number of them to discrim

SUBMITTER: Yang L 

PROVIDER: S-EPMC9921617 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature