Exploring the Effects of 3D Gaze Stimulation and Color Performance in Augmented Reality‐Based Steady‐State Visual Evoked Potential

The augmented reality‐based steady‐state visual evoked potentials (AR‐SSVEP) technique enhances brain‐computer interface(BCI) flexibility by overlaying visual stimuli onto the real environment. However, integrating 3D‐rendered stimuli with real‐world settings introduces complexities that can affect...

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Bibliographic Details
Published in:Advanced intelligent systems Vol. 7; no. 11
Main Authors: Geng, Yiting, Yang, Banghua, Guo, Mengao, Yao, Yuan, Zhang, Yonghuai, Chen, Luting, Xia, Xinxing
Format: Journal Article
Language:English
Published: Weinheim John Wiley & Sons, Inc 01.11.2025
Wiley
Subjects:
3D gaze
Accuracy
Augmented reality
Brain research
brain‐computer interface
Brightness
Classification
Electroencephalography
Experiments
Human-computer interface
Influence
Interfaces
Luminance
Paradigms
Personal computers
steady‐state visual evoked potential
User training
Virtual reality
Visual perception
Visual stimuli
ISSN:2640-4567, 2640-4567
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Summary:The augmented reality‐based steady‐state visual evoked potentials (AR‐SSVEP) technique enhances brain‐computer interface(BCI) flexibility by overlaying visual stimuli onto the real environment. However, integrating 3D‐rendered stimuli with real‐world settings introduces complexities that can affect AR‐SSVEP performance. This study examines how gaze patterns and stimulus brightness in AR headsets influence SSVEP recognition accuracy. Two experiments, each involving 20 subjects, evaluate the effects of gaze mode and stimulus luminance. Results show that binocular gaze yields higher recognition accuracy, supporting its use for AR‐SSVEP interactions. Additionally, accuracy varies across stimulus blocks of different brightness levels, indicating that luminance influences AR‐SSVEP performance. These findings provide insights into key factors affecting recognition accuracy and inform the optimization of AR‐BCI systems. This study investigates how gaze mode and stimulus brightness affect augmented reality‐based steady‐state visual evoked potentials (AR‐SSVEP) brain‐computer interface (BCI) performance. Experiments with 20 participants show that binocular gaze improves recognition accuracy and stimulus luminance impacts performance. The findings offer guidance for optimizing AR‐SSVEP BCI systems.
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ISSN:2640-4567
2640-4567
DOI:10.1002/aisy.202500156