TY - GEN
T1 - Visual stimulus background effects on SSVEP-based brain-computer interface
AU - Shu, Xiaokang
AU - Yao, Lin
AU - Meng, Jianjun
AU - Sheng, Xinjun
AU - Zhu, Xiangyang
N1 - Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - The flickering source is an indispensable component in steady-state visual evoked potentials based brain-computer interface, and its background severely influences the potentials evoked by the repetitive stimuli. In this paper, we designed the experiment paradigm under three different backgrounds in the context of the SSVEP controlled small car, including black screen, static scene of the environment, and dynamic scene of the environment. From the spectrogram analysis of the EEG signals at occipital cortex, we found apparent decrease in SSVEP amplitude in dynamic scene condition comparing to the reference condition black screen. And the SSVEP amplitude changes under these three conditions further resulted in identification accuracy decreasing in dynamic scene condition as compared to black screen reference condition, which was evaluated from 10×10 cross validation. Besides, in real-time control of the small car, our results indicated that training in static scene condition exhibited better performance than that in black screen.
AB - The flickering source is an indispensable component in steady-state visual evoked potentials based brain-computer interface, and its background severely influences the potentials evoked by the repetitive stimuli. In this paper, we designed the experiment paradigm under three different backgrounds in the context of the SSVEP controlled small car, including black screen, static scene of the environment, and dynamic scene of the environment. From the spectrogram analysis of the EEG signals at occipital cortex, we found apparent decrease in SSVEP amplitude in dynamic scene condition comparing to the reference condition black screen. And the SSVEP amplitude changes under these three conditions further resulted in identification accuracy decreasing in dynamic scene condition as compared to black screen reference condition, which was evaluated from 10×10 cross validation. Besides, in real-time control of the small car, our results indicated that training in static scene condition exhibited better performance than that in black screen.
KW - LDA
KW - Power Spectrum
KW - SSVEP
KW - Stimulation Background
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U2 - 10.1007/978-3-642-40852-6_46
DO - 10.1007/978-3-642-40852-6_46
M3 - Conference contribution
AN - SCOPUS:84884832845
SN - 9783642408519
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 453
EP - 462
BT - Intelligent Robotics and Applications - 6th International Conference, ICIRA 2013, Proceedings
PB - Springer Verlag
T2 - 6th International Conference on Intelligent Robotics and Applications, ICIRA 2013
Y2 - 25 September 2013 through 28 September 2013
ER -