Brain-computer interfaces (BCIs) offer a promising means of communication and control for individuals with limited mobility due to neurological disorders or injuries. Steady-state visually evoked potentials (SSVEPs) are a type of BCI paradigm that rely on the brain’s response to specific visual frequencies. Single frequency SSVEP suffers from the limited number of targets thus dual-SSVEP paradigms were proposed. Conventional dual-SSVEP paradigms, however, suffer from limitations such as intermodulation of harmonic components, which can result in reduced accuracy and reliability.
This study aims to explore the feasibility and effectiveness of a novel dual-SSVEP paradigm using virtual reality (VR) technology. By presenting SSVEP stimuli to each eye separately in a VR environment, we hypothesize that intermodulation of harmonic components can be mitigated, ultimately improving the accuracy and reliability of the SSVEP response. In this thesis, we design and implement a VR- based dual-SSVEP paradigm, evaluate its performance in terms of reliability, and compare its performance to a conventional dual-SSVEP paradigm.
For more information, please refer to the Full Thesis, VR Application and Data Analysis.