Effects of 3D Stimuli With Frequency Ranges, Patterns, and Shapes on SSVEP-BCI Performance in Virtual Reality

  • Zihao Wei
  • , Yanfei Lin*
  • , Jiayi Chen
  • , Shuo Pan
  • , Xiaorong Gao
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Traditional steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) systems offer stability and simplicity in evoking brain responses, but their practical utility is limited by immovable screens for visual stimuli. Virtual Reality (VR) technology provides a more natural and immersive environment to evoke SSVEP signals. However, the design methods for visual stimuli in VR environments remain to be explored, especially under the stereoscopic vision conditions. This study investigated the effects of 3D stimuli with frequency ranges, patterns, and shapes on the performance and user experiences of VR-SSVEP. There were four patterns including three-dimensional (3D) flicker, two-dimensional (2D) flicker, 3D checkerboard, and 3D quick response (QR) code with four shapes comprising cube, sphere, cylinder, and cone at low (9-15Hz), medium (18-24Hz), and high frequencies (30-36Hz). Both offline and online experiments were conducted to analyze the effects of different parameter combinations on SSVEP-BCI performance, and a questionnaire was exploited to evaluate user experiences. Compared to high frequency range, the low and medium frequency ranges had better performance and lower user experiences. 3D checkerboard and 3D QR code patterns showed significantly better user experiences than 3D and 2D flickers for all frequency ranges. With a high level of classification performance, 3D checkerboard and 3D QR code patterns in medium frequency range could synthetically enhance the system performance and user experiences. These results could provide significant value for SSVEP-BCI application in VR environments.

Original languageEnglish
Pages (from-to)890-899
Number of pages10
JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering
Volume33
DOIs
Publication statusPublished - 2025

Keywords

  • 3D visual stimuli
  • Brain–computer interface (BCI)
  • electroencephalogram (EEG)
  • steady-state visual evoked potential (SSVEP)
  • virtual reality (VR)

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