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Dual stimuli interface with logical division using local move stimuli

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Abstract

Improving information transfer rate is a key to prompt the speed of outputting instructions of the event-related potential-based brain–computer interface. Our previous study designed a dual-stimuli interface that simultaneously presents two types of different stimuli to improve the speed. While, adding more stimuli into this interface makes subject easily affected by “flanker effect” that decreases the accuracy of recognizing intention. To achieve high recognition accuracy with many stimuli, this study proposes a dual stimuli interface based on whole flash and local move (DS-WL) and two rules of stimulus arrangement to induce the brain signals. Twenty subjects participated in the experiment, and their signals are recognized by a back propagation neural network classifier. The local move induces larger and later signals of targets to help discriminate the two kinds of stimuli; the rules reduce the N200 and P300 amplitudes of non-target, which improves accuracy. This study demonstrates that the DS-WL is a useful way to shorten the instruction output cycle and speed up the instructions outputting by local move and rules.

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Acknowledgements

The study was funded by the Natural Science Foundation of Hebei Province under Grant F2021202003, the Technology Nova of Hebei University of Technology under Grant JBKYXX2007, the State Key Laboratory of Reliability and Intelligence of Electrical Equipment under Grant EERI_OY2020004, the National Natural Science Foundation of China under Grant 61806070, 51977060.

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Author notes

  1. Mengfan Li and Miaomiao Guo have contributed equally to this work.

Authors and Affiliations

  1. State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin, 300132, China

    Mengfan Li, Lingyu Wu, Miaomiao Guo & Guizhi Xu

  2. Hebei Key Laboratory of Bioelectromagnetics and Neuroengineering, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin, 300132, China

    Mengfan Li, Lingyu Wu, Miaomiao Guo & Guizhi Xu

  3. Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, Hebei University of Technology, Tianjin, 300132, China

    Mengfan Li, Lingyu Wu, Miaomiao Guo & Guizhi Xu

  4. Neuracle Technology (Changzhou) Co., Ltd., Beijing, China

    Fang Lin

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  1. Mengfan Li
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  2. Lingyu Wu
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  3. Fang Lin
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  4. Miaomiao Guo
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Correspondence to Mengfan Li.

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Li, M., Wu, L., Lin, F. et al. Dual stimuli interface with logical division using local move stimuli. Cogn Neurodyn 17, 965–973 (2023). https://doi.org/10.1007/s11571-022-09878-z

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  • DOI: https://doi.org/10.1007/s11571-022-09878-z

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