Enhancing Detection of Acceleration-Related ERPs in VR using Spatial Filtering Techniques

Overview & Synopsis

Decoding user perception in Virtual Reality (VR) is crucial for enhancing immersion and understanding the user experience. This study compared spatial filtering techniques for enhancing acceleration-related ERPs from EEG data in VR. Participants experienced controlled forward and backward accelerations within a VR environment while their brain activity was recorded using a 14-electrode EEG system. We compare spatial filtering methods - CSP, EMS, and xDAWN - and demonstrate that xDAWN most effectively separates these acceleration conditions. These findings provide insights into the neural mechanisms underlying acceleration perception in VR, paving the way for improved VR experiences and a deeper understanding of the brain processes associated with acceleration perception.