Performance Enhancement of an SSVEP-Based Brain–Computer Interface in Augmented Reality Through Adaptive Color Adjustment of Visual Stimuli for Optimal Background Contrast
The aim of this study is to develop a steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) system with enhanced performance in an augmented reality (AR) environment by dynamically adjusting colors of visual stimuli to contrast with the background seen through the transpa...
Saved in:
Main Authors: | Cheong-Un Kim, Seonghun Park, Chang-Hwan Im |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10845833/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A portable EEG signal acquisition system and a limited-electrode channel classification network for SSVEP
by: Yunxiao Ma, et al.
Published: (2025-01-01) -
The Effects of Different Phase on Independent Visual Fields SSVEP Responses
by: Dalu Zheng, et al.
Published: (2025-01-01) -
Amplitude Modulation Depth Coding Method for SSVEP-Based Brain–Computer Interfaces
by: Ruxue Li, et al.
Published: (2025-01-01) -
A novel non-invasive EEG-SSVEP diagnostic tool for color vision deficiency in individuals with locked-in syndrome
by: Ghada N. AlEssa, et al.
Published: (2025-01-01) -
Performance Improvement with Reduced Number of Channels in Motor Imagery BCI System
by: Ali Özkahraman, et al.
Published: (2024-12-01)