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  4. An EOG Guided P300 Flicker Display Paradigm for Improving the Driving Intuition of BCI Wheelchair Users
 
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An EOG Guided P300 Flicker Display Paradigm for Improving the Driving Intuition of BCI Wheelchair Users

Part Of
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Start Page
6842
End Page
6847
ISBN (of the container)
9798331533588
ISBN
9798331533588
Date Issued
2025
Author(s)
Nguyen, Phuc Thanh-Thien
Nguyen, Dai-Dong
Lin, Yi-Tseng
CHUNG-HSIEN KUO  
DOI
10.1109/SMC58881.2025.11342730
URI
https://www.scopus.com/record/display.uri?eid=2-s2.0-105033146690&origin=resultslist
https://scholars.lib.ntu.edu.tw/handle/123456789/737360
Abstract
Most existing P300 brain computer interface (BCI) based brain-controlled wheelchairs (BCWs) position visual stimulus panels in a manner that requires users to frequently shift their gaze between the control panel and the surrounding environment. This constant gaze shifting can reduce intuitiveness and compromise safety. To address this issue, this study introduces a translucent visual stimuli control panel placed directly within the user's field of vision. Visual stimuli, representing movement commands (forward, backward, left, right, and stop), are projected onto this panel using a micro-projector positioned 35 cm away from the user. Notably, the location of these flashing stimuli dynamically aligns with the user's eye gaze, which is detected through electrooculographic (EOG) signals. Consequently, the control interface naturally follows the user's visual attention, enhancing both intuitiveness and operational safety. Classification of the P300 signals for wheelchair control is performed using a support vector machine (SVM), while the canonical correlation analysis spatial filter enhances the information transfer rate. Performance assessments involved 10 healthy subjects navigating wheelchair trajectories "U"(5.7 m) and "S"(12.4 m) shapes. Experimental results confirmed that the eye-gaze-guided BCI approach significantly improves accuracy and user experience compared to traditional non-EOG-guided methods.
Event(s)
2025 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2025, 5 October 2025 - 8 October 2025, Hybrid, Vienna
Subjects
brain-computer interface
brain-controlled wheelchair
P300
translucent visual stimuli
Publisher
Institute of Electrical and Electronics Engineers Inc.
Type
conference paper

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