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International Conference on Intelligent Robotics and Applications

ICIRA 2021: Intelligent Robotics and Applications pp 654–663Cite as

EEG Characteristic Investigation of the Sixth-Finger Motor Imagery

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13013))

Abstract

Supernumerary Robotic Limbs (SRL) are body augmentation robotic devices by adding extra limbs or fingers to the human body different from the traditional wearable robotic devices such as prosthesis and exoskeleton. We proposed a novel MI-based BCI paradigm based on the sixth-finger which imagines controlling the extra finger movements. The goal of this work was to investigate the EEG characteristics and the application potential of MI-based BCI systems based on the new imagination paradigm (sixth-finger MI). 14 subjects participated in the experiment involving the sixth-finger MI tasks and rest state. Event-related spectral perturbation (ERSP) was adopted to analyze EEG spatial and time-frequency features. Common spatial patterns (CSP) were used for feature extraction and classification was implemented by support vector machine (SVM). ERD (event-related desynchronization) was found in the supplementary motor area (SMA) and primary motor area (M1) with a faint contralateral dominance. Unlike traditional human hand MI, ERD was also found in frontal lobe. The highest accuracy of 80% and mean accuracy of 70%. This work provided a novel paradigm for MI-based MI system, widened the control bandwidth of the BCI system. In addition, we discussed the application potential of the sixth-finger MI.

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Acknowledgments

This work was supported in part by the National Natural Science Foundation of China (51905375), the China Post-doctoral Science Foundation Funded Project (2019M651033), Foundation of State Key Laboratory of Robotics and System (HIT) (SKLRS-2019-KF-06), and Peiyang Elite Scholar Program of Tianjin University (2020XRG-0023).

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Authors and Affiliations

  1. Tianjin University, Tianjin, 300072, China

    Yuan Liu, Zhuang Wang, Shuaifei Huang, Jinze Wei & Dong Ming

  2. No.208 Research Institute of China Ordnance Industries, Beijing, 102202, China

    Xiaoqi Li

Authors
  1. Yuan Liu
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  2. Zhuang Wang
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  3. Shuaifei Huang
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  4. Jinze Wei
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  5. Xiaoqi Li
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  6. Dong Ming
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Corresponding author

Correspondence to Yuan Liu .

Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Xin-Jun Liu

  2. Tsinghua University, Beijing, China

    Zhenguo Nie

  3. Beihang University, Beijing, China

    Jingjun Yu

  4. Tsinghua University, Beijing, China

    Fugui Xie

  5. Shandong University, Shandong, China

    Rui Song

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Cite this paper

Liu, Y., Wang, Z., Huang, S., Wei, J., Li, X., Ming, D. (2021). EEG Characteristic Investigation of the Sixth-Finger Motor Imagery. In: Liu, XJ., Nie, Z., Yu, J., Xie, F., Song, R. (eds) Intelligent Robotics and Applications. ICIRA 2021. Lecture Notes in Computer Science(), vol 13013. Springer, Cham. https://doi.org/10.1007/978-3-030-89095-7_62

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  • DOI: https://doi.org/10.1007/978-3-030-89095-7_62

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-89094-0

  • Online ISBN: 978-3-030-89095-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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