An improved SSVEP-based brain-computer interface with low-contrast visual stimulation and its application in UAV control-Reference-Cited by-同舟云学术

An improved SSVEP-based brain-computer interface with low-contrast visual stimulation and its application in UAV control

Published:2024-09-01 Issue:3 Volume:132 Page:809-821
ISSN:0022-3077
Container-title:Journal of Neurophysiology
language:en
Short-container-title:Journal of Neurophysiology

Author:

Cheng Yu¹^ORCID,Yan Lirong¹²^ORCID,Shoukat Muhammad Usman¹^ORCID,She Jingyang¹,Liu Wenjiang¹²,Shi Changcheng¹²,Wu Yibo³,Yan Fuwu¹²

Affiliation:

1. Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, People’s Republic of China

2. Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory, Foshan, People’s Republic of China

3. Wuhan Leishen Special Equipment Co. Ltd., Wuhan, People’s Republic of China

Abstract

In this article, we proposed an improved steady-state visual-evoked potential (SSVEP) paradigm and constructed an SSVEP-based brain-computer interface (BCI) system to navigate the unmanned aerial vehicle (UAV) in two-dimensional (2-D) physical space. We proposed a modified method for evaluating visual fatigue including subjective score and objective indices. The results indicated that the improved SSVEP paradigm could effectively reduce visual fatigue while maintaining high accuracy.

Funder

Science and Technology Planning Project of the third Division of Xingjiang Production and Construction Corps

MOST | National Natural Science Foundation of China

Publisher

American Physiological Society

Link

https://journals.physiology.org/doi/pdf/10.1152/jn.00029.2024

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5. Steady-State Motion Visual Evoked Potentials Produced by Oscillating Newton's Rings: Implications for Brain-Computer Interfaces