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Editorial | Open Access

BCI Controlled Robot Contest on the 50th Anniversary of Brain-Computer Interfaces

Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China
Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
Department of Psychology, School of Social Sciences, Tsinghua University, Beijing 100084, China
State Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China
Division of Biology and Biological Engineering, California Institute of Technology, Pasadena 91125, USA
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References

[1]
Liu BC, Chen XG, Wang YJ, et al. Promoting brain–computer interface in China by BCI Controlled Robot Contest in World Robot Contest. Brain Sci Adv 2022, 8(2): 79–81.
Crossref Google Scholar
[2]
Du ZB, Bian R, Wu DR. Overview of the winning approaches in 2022 World Robot Contest Championship–Asynchronous SSVEP. Brain Sci Adv 2023, 9(3): 155–165.
Crossref Google Scholar
[3]
An JY, Chen XR, Wu DR. Algorithm contest of motor imagery BCI in the World Robot Contest 2022: a survey. Brain Sci Adv 2023, 9(3):166–181.
Crossref Google Scholar
[4]
Wang ZH, Zhang HF, Ji ZY, et al. A review of deep learning methods for cross-subject rapid serial visual presentation detection in World Robot Contest 2022. Brain Sci Adv 2023, 9(3): 195–209.
Crossref Google Scholar
[5]
Yi HJ, Liu DJ, Jin XY, et al. Winning algorithms in BCI controlled robot contest in world robot contest 2022: BCI Turing test. Brain Sci Adv 2023, 9(3): 182–194.
Crossref Google Scholar
[6]
Si XP, Huang D, Sun YL, et al. Transformer-based ensemble deep learning model for EEG-based emotion recognition. Brain Sci Adv 2023, 9(3): 210–223.
Crossref Google Scholar
[7]
Yi CZ, Wu YX, Ye F, et al. Overview of recognition methods for SSVEP-based BCIs in World Robot Contest 2022: MATLAB undergraduate group. Brain Sci Adv 2023, 9(3): 224–236.
Crossref Google Scholar
[8]
Dong Y, Tian S. A large database towards user-friendly SSVEP-based BCI. Brain Sci Adv 2023, 9(4).
Crossref Google Scholar
Brain Science Advances
Volume 9 Issue 4,
December 2023
Pages 237-241
DOI: 10.26599/BSA.2023.9050022
Cite this article:
Liu B, Chen X, Chen J, et al. BCI Controlled Robot Contest on the 50th Anniversary of Brain-Computer Interfaces. Brain Science Advances, 2023, 9(4): 237-241. https://doi.org/10.26599/BSA.2023.9050022

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Published: 05 December 2023
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