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High-speed target selection method for SSVEP based on a dynamic stopping strategy

  • WANG Chunhui ,
  • JIANG Jing ,
  • LI Haiyang ,
  • XU Minpeng ,
  • YIN Erwei ,
  • MING Dong
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  • 1. National Key Laboratory of Human Factors Engineering, China Astronaut Research and Training Center, Beijing 100092, China;
    2. Baicheng Ordnance Test Center, Baicheng 137001, China;
    3. Laboratory of Neural Engineering and Rehabilitation, College of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China;
    4. Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China;
    5. Unmanned Systems Research Center, National Institute of Defense Technology Innovation, Academy of Military Sciences China, Beijing 100081, China

Received date: 2018-02-14

  Online published: 2018-09-19

Abstract

The steady-state visual evoked potential (SSVEP) based brain-computer interfaces (BCIs) are very fast and have huge instruction sets. However, the information transfer rate (ITR) needs to be increased for practical applications. A classification model of the task-relevant component analysis is used on a public data set of 35 subjects to recognize the SSVEP component in the electroencephalography data. A dynamic stopping strategy based on Bayes estimation is used to evaluate the confidence of the classification results. The results show that the dynamic stopping strategy (230 b/min) improves the average ITR by 12.7% compared with the conventional fixed stopping strategy (204 b/min). Thus, this result shows how SSVEP-BCI can be further improved by the Bayes-based dynamic stopping strategy.

Cite this article

WANG Chunhui , JIANG Jing , LI Haiyang , XU Minpeng , YIN Erwei , MING Dong . High-speed target selection method for SSVEP based on a dynamic stopping strategy[J]. Journal of Tsinghua University(Science and Technology), 2018 , 58(9) : 788 -795 . DOI: 10.16511/j.cnki.qhdxxb.2018.22.038

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