The influence of paradigm interface guided by different visual types on MI-BCI performance.
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| Title: | The influence of paradigm interface guided by different visual types on MI-BCI performance. |
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| Authors: | Shao, Jiang, Bai, Yuxin, Yao, Jun, Zhang, Ying, Tian, Fangyuan, Xue, Chengqi |
| Source: | Behaviour & Information Technology. Jan2025, Vol. 44 Issue 1, p120-130. 11p. |
| Subjects: | Arm physiology, Scale analysis (Psychology), Brain-computer interfaces, Electroencephalography, Visual evoked response, Evoked potentials (Electrophysiology), Neuroplasticity, Descriptive statistics, Signal processing, Paradigms (Social sciences), Cerebral cortex, Support vector machines, Frontal lobe, Communication, Body movement, Comparative studies |
| 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. [ABSTRACT FROM AUTHOR] |
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| Database: | Psychology and Behavioral Sciences Collection |
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| 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. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 0144929X |
| DOI: | 10.1080/0144929X.2024.2312436 |
