Guiying Xu
Dalian University of Technology
5 Papers
Guiying Xu is an academic researcher from Dalian University of Technology. The author has contributed to research in topics: Computer science & Electroencephalography. The author has an hindex of 1, co-authored 1 publications.
Chat about Author
Papers
CT and MR Image Fusion Based on Adaptive Structure Decomposition
Fan Zhao,Guiying Xu,Wenda Zhao +2 more
TL;DR: A CT and MR image fusion method via adaptive structure decomposition to combine the complementary information is proposed, demonstrating the superiority of the proposed method on both subjective and objective assessments.
A simultaneous electroencephalography and eye-tracking dataset in elite athletes during alertness and concentration tasks
Xinzhen Pei,Guiying Xu,Yunhui Zhou,Luna Tao,Xiaozhu Cui,Zhenyu Wang,Bingru Xu,An-Li Wang,Xi Zhao,Haijun Dong,Yan An,Yang Cao,Ruxue Li,Honglin Hu,Yuguo Yu +14 more
TL;DR: In this article , a dataset of simultaneous 64-channel EEG and high-speed eye-tracking recordings was collected from 31 professional athletes and 43 college students during alertness behavior task (ABT) and concentration cognitive task (CCT).
8
An SSPVEP Brain-Computer Interface Using a Small Amount of Flicker Stimuli
TL;DR: It is revealed that using less flicker stimuli can still stimulate the brain to produce classifiable SSVEP responses and shows that the performance of SSPVEP stimulation paradigm is accepted in the application scenarios which only require a small number of instructions.
1
A simultaneous electroencephalography and eye-tracking dataset in elite athletes during alertness and concentration tasks
Xinzhen Pei,Guiying Xu,Yunhui Zhou,Luna Tao,Xiaozhu Cui,Zhenyu Wang,Bingru Xu,An-Li Wang,Xi Zhao,Haijun Dong,Yan An,Yang Cao,Ruxue Li,Honglin Hu,Yuguo Yu +14 more
TL;DR: In this paper , a dataset of simultaneous 64-channel EEG and high-speed eye-tracking recordings was collected from 31 professional athletes and 43 college students during alertness behavior task (ABT) and concentration cognitive task (CCT).
A static paradigm based on illusion-induced VEP for brain-computer interfaces
TL;DR: In this paper , a novel paradigm adopting static motion illusion based on illusion-induced visual evoked potential is proposed for brain-computer interfaces (BCIs) to enhance visual experience and practicality.