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The influence of paradigm interface guided by different visual types on MI-BCI performance

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  • Jiang Shao
  • Yuxin Bai
  • Jun Yao
  • Ying Zhang
  • Fangyuan Tian
  • Chengqi Xue

Abstract

Visual paradigms of Brain-Computer Interfaces (BCI) for motor imagery (MI) tasks are the basis for communication through (electroencephalogram) EEG signals. During the MI-BCI user training process, this study analyzes and summarises four different visual paradigms and compares their impact on the outcomes of MI-BCI training. Four different visual paradigms are experimentally compared through classification outcomes and subjective evaluation. EEG features were extracted via Common Spatial Patterns (CSP) and passed to a Support Vector Machine (SVM) model for their classification. The results show that all four types of visual paradigms have a significant impact on the outcomes of MI-BCI training, with Paradigm Set II having the most significant impact. This is because paradigm set II offers a paradigm interface with relatively low visual complexity on the basis of action observation, and visual guidance with more clarity and more accurate EEG classification.

Suggested Citation

  • Jiang Shao & Yuxin Bai & Jun Yao & Ying Zhang & Fangyuan Tian & Chengqi Xue, 2025. "The influence of paradigm interface guided by different visual types on MI-BCI performance," Behaviour and Information Technology, Taylor & Francis Journals, vol. 44(1), pages 120-130, January.
    • Handle: RePEc:taf:tbitxx:v:44:y:2025:i:1:p:120-130
    DOI: 10.1080/0144929X.2024.2312436
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