Optimizing spatial properties of a new checkerboard-like visual stimulus for user-friendly SSVEP-based BCIs
Author(s): Ming, Gege; Pei, Weihua; Chen, Hongda; Gao, Xiaorong; Wang, Yijun
Source:JOURNAL OF NEURAL ENGINEERING Volume:18 Issue:5 Article Number:56046 DOI:10.1088/1741-2552/ac284a Published:OCT 2021
Abstract: Objective. Low-frequency steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) systems with high performance are prone to cause visual discomfort and fatigue. High-frequency SSVEP-based BCI systems can alleviate the discomfort, but always obtain lower performance. This study optimized the spatial properties of a proposed checkerboard-like visual stimulus toward high-performance and user-friendly SSVEP-based BCI systems. Approach. On the one hand, two checkerboard-like stimuli with distinct spatial contrasts (the black- and white-background) were designed to balance the tradeoff between BCI performance and user experience and compared with the traditional flickering stimulus. On the other hand, the impacts of the spatial frequency of the new checkerboard-like stimulus on the flicker perception and the intensity of the elicited SSVEP were clarified. The SSVEP-based BCI systems were implemented based on the checkerboard-like stimuli under low-frequency and high-frequency conditions. The user experience for each stimulation pattern was estimated by questionnaires for subjective evaluation. Main results. The comparison results indicate that the black-background checkerboard-like stimulus with an optimized spatial frequency achieved comparable performance and enhanced visual comfort compared with the flickering stimulus. Furthermore, the online nine-target BCI system using the black-background checkerboard-like stimuli achieved averaged information transfer rates of 124.0 +/- 2.3 and 109.0 +/- 20.4 bits min(-1) with low-frequency and high-frequency stimulation respectively. Significance. The new checkerboard-like stimuli with optimized properties show superiority of system performance and user experience in implementing SSVEP-based BCI, which will promote its practical applications in communication and control.
Accession Number:WOS:000703719500001
ISSN: 1741-2560
eISSN: 1741-2552
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