Abstract
We discuss a novel movement imagery brain-computer/ma-chine-interface (BCI/BMI) paradigm learning procedure with utilization of real- and quasi-movements of subjects’ thumbs. In the proposed procedure volitional movements are slowly minimized by the subjects to a very low level so that finally they become undetectable by objective measures such as electromyography (EMG). The procedure allows the subjects to understand motion imagery process, which follows after the training. The procedure allows also to control the final movement imagery protocol and to detect any possible movements in case subject would not learn to suppress them completely. We present also a discussion on electroencephalography (EEG) signals pre-processing steps with common spatial pattern (CSP) method improvements. Promising results were obtained with subjects who could not perform the motion imagery paradigm as well with those who never tried it before conclude the paper.
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Acknowledgements
The research presented in this paper was supported in part by the Japan Society for the Promotion of Science grant no. 21360179.
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Higashi, H., Rutkowski, T.M., Washizawa, Y., Tanaka, T., Cichocki, A. (2011). Imagery Movement Paradigm User Adaptation Improvement with Quasi-movements Phenomenon. In: Wang, R., Gu, F. (eds) Advances in Cognitive Neurodynamics (II). Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9695-1_101
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DOI: https://doi.org/10.1007/978-90-481-9695-1_101
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