Influence of Stimuli Color Combination on Online SSVEP-based BCI Performance
作者： Xiaodong Li , Xiaojun Wang , Chi Man Wong , Rongwei Wen , Feng Wan
DOI: 10.1109/CIVEMSA45640.2019.9071623
关键词: Stimulus (physiology) 、 Artificial intelligence 、 Pattern recognition 、 Electroencephalography 、 Brain–computer interface 、 Evoked potential 、 Computer science
摘要: The stimuli color greatly affects the performance of a steady-state visual evoked potential (SSVEP)-based brain computer interface (BCI). However, few studies have evaluated effect combination on multiple-target BCI when adopt different colors. In this study, 16 sets colors were tested by using an online dual-task BCI, and detection accuracy, time information transmission rate (ITR) measured. results showed that yellow-red achieved highest shortest ITR, which is optimal choice for improving BCI.
sci-hub.st 参考文章(23)
Lin Yao, Jianjun Meng, Xinjun Sheng, Xiangyang Zhu, Xiaokang Shu, Visual Stimulus Background Effects on SSVEP-Based Brain-Computer Interface Intelligent Robotics and Applications. pp. 453- 462 ,(2013) , 10.1007/978-3-642-40852-6_46
Richard Tello, André Müller, Sandra, Ferreira, Teodiano Bastos-Filho, Comparison of the influence of stimuli color on Steady-State Visual Evoked Potentials Research on Biomedical Engineering. ,vol. 31, pp. 218- 231 ,(2015) , 10.1590/2446-4740.0739
Md Kamrul Hasan, Toufiq Md Hossain, Abdul Kader Faisal, Mohiuddin Ahmad, None, Effect of diverse stimulations of brain on EEG signal for SSVEP based Brain Computer Interface international conference on electrical engineering and information communication technology. pp. 1- 6 ,(2015) , 10.1109/ICEEICT.2015.7307454
Kian B Ng, Andrew P Bradley, Ross Cunnington, Stimulus specificity of a steady-state visual-evoked potential-based brain-computer interface. Journal of Neural Engineering. ,vol. 9, pp. 036008- ,(2012) , 10.1088/1741-2560/9/3/036008
Rajesh Singla, Arun Khosla, Rameshwar Jha, Influence of stimuli color on steady-state visual evoked potentials based BCI wheelchair control Journal of Biomedical Science and Engineering. ,vol. 06, pp. 1050- 1055 ,(2013) , 10.4236/JBISE.2013.611131
Anna Duszyk, Piotr Milanowski, Maciej Łabęcki, Maria Bierzyńska, Zofia Radzikowska, Magdalena Michalska, Jarosław Żygierewicz, Piotr Suffczyński, Piotr Jerzy Durka, Rafał Kuś, On the Quantification of SSVEP Frequency Responses in Human EEG in Realistic BCI Conditions PLoS ONE. ,vol. 8, pp. e77536- ,(2013) , 10.1371/JOURNAL.PONE.0077536
Christoph S. Herrmann, Human EEG responses to 1-100 Hz flicker: resonance phenomena in visual cortex and their potential correlation to cognitive phenomena. Experimental Brain Research. ,vol. 137, pp. 346- 353 ,(2001) , 10.1007/S002210100682
Zhenghua Wu, Studying modulation on simultaneously activated SSVEP neural networks by a cognitive task Journal of Biological Physics. ,vol. 40, pp. 55- 70 ,(2014) , 10.1007/S10867-013-9335-7
Rajesh Kumar Singla, Arun Khosla, R. Jha, Influence of stimuli colour on feature classification for BCI applications International Journal of Biomedical Engineering and Technology. ,vol. 15, pp. 82- ,(2014) , 10.1504/IJBET.2014.060993
Anna Duszyk, Maria Bierzyńska, Zofia Radzikowska, Piotr Milanowski, Rafał Kuś, Piotr Suffczyński, Magdalena Michalska, Maciej Łabęcki, Piotr Zwoliński, Piotr Durka, Towards an Optimization of Stimulus Parameters for Brain-Computer Interfaces Based on Steady State Visual Evoked Potentials PLoS ONE. ,vol. 9, pp. e112099- ,(2014) , 10.1371/JOURNAL.PONE.0112099