Combination of high-frequency SSVEP-based BCI and computer vision for controlling a robotic arm.

Journal: Journal of neural engineering
PMID: 30523962

Abstract

OBJECTIVE: Recent attempts in developing brain-computer interface (BCI)-controlled robots have shown the potential of this area in the field of assistive robots. However, implementing the process of picking and placing objects using a BCI-controlled robotic arm still remains challenging. BCI performance, system portability, and user comfort need to be further improved.

Authors

  • Xiaogang Chen
    1 Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300192, P. R. China.
  • Bing Zhao
    Department of Neurology, Changzhi People's Hospital, Changzhi Medical College, Changzhi, China.
  • Yijun Wang
    2 State Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, P. R. China.
  • Xiaorong Gao
    3 Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, P. R. China.

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