Abstract
First part is a brief history of preliminary researches on BCI. Then the paper introduces the recent research by the authors. The authors measured electroencephalograms (EEGs) from subjects on recalling ten types of movement images of a robot. They have measured a set of Single-Trial-EEGs from six subjects during watching the movement of the robot images. The canonical discriminant analysis was applied to these EEGs data specially sampled. Four channels of EEGs at the right frontal and temporal were used in the discrimination. Results of the canonical discriminant analysis were more than 90% for six subjects. This system is called ImageRobo. After that the ImageRobo was optimized for three channels of the Single-Trial EEGs and also sampling data were one third of the four channel systems. The discriminant ratios were slightly improved though the amount of data was reduced to one quarter.
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Acknowledgements
This research was partially supported by a grant from the Ministry of Education, Culture, Sports, Science and Technology for the national project of the High-tech Research Center of Hokkai-Gakuen University ended in March 2013. The experiments were approved by the ethical review board of Hokkaido University. The authors express their gratitude to former under graduate students of Yamanoi Laboratory in Hokkai-Gakuen University, especially Mr. Shunki Ito, Mr. Kaito Sato, and Mr. Tatsuki Sato, for their assistance in the EEG experiments.
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Yamanoi, T., Otsuki, M., Toyoshima, H., Uchida, Y., Ohnishi, Si. (2023). ImageRobo: Controlling Robot by Some EEGs from Right Frontal Area on Recalling Image of Its Movements. In: Shahbazova, S.N., Abbasov, A.M., Kreinovich, V., Kacprzyk, J., Batyrshin, I.Z. (eds) Recent Developments and the New Directions of Research, Foundations, and Applications. Studies in Fuzziness and Soft Computing, vol 422. Springer, Cham. https://doi.org/10.1007/978-3-031-20153-0_8
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