Abstract
In this study, we present a novel multi-class BCI paradigm based on motor imagery sequential coding (MISC) protocol, which can generate multiple commands just by two kinds of motor imagery (MI) tasks. In the MISC protocol, each mental task was divided into several continuous epochs with the same duration. During each epoch, one of the two MI tasks was executed. With this protocol, multiple mental states can be coded by the two MI tasks. Additionally, the difficulty of classifier design was also reduced as only two MI tasks were needed to be classified. Three subjects participated in our experiments, and achieved an average accuracy of 85.7%, with the ITR of 16.5 bits/min. The results confirmed that the MISC protocol can generate more commands in BCI system with the equal number of MI tasks.
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Jiang, J., Yin, E., Yu, Y., Tang, J., Zhou, Z., Hu, D. (2013). A Novel Multi-class Brain-Computer Interface (BCI) Paradigm Based on Motor Imagery Sequential Coding (MISC) Protocol. In: Sun, C., Fang, F., Zhou, ZH., Yang, W., Liu, ZY. (eds) Intelligence Science and Big Data Engineering. IScIDE 2013. Lecture Notes in Computer Science, vol 8261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-42057-3_38
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DOI: https://doi.org/10.1007/978-3-642-42057-3_38
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