EEG Inner Speech Classification Using Machine Learning Cascade Model

A. Kh. Ekizyan,P. D. Shaposhnikov, D. V. Kostulin, I. G. Shevchenko,D. G. Shaposhnikov

Studies in computational intelligence（2025）

Southern Federal University

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摘要

BCI based on inner speech become a promising and user-friendly systems for human-machine interaction. In resent years interest for this technology has significantly grown due to latest advancements in machine learning and neural networks. In our study the EEG inner speech database containing patterns of 7 word-directions obtained from 13 subjects was formed. Various machine learning techniques were applied to separate word patterns for future application in BCI system. Based on these results, we proposed a cascade machine learning model achieving an overall accuracy of 35.7

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关键词

EEG,BCI,inner speech,ML

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