Representation Learning for Motor Imagery Recognition with Deep Neural Network
نویسندگان
چکیده
This study describes a method for classifying electrocorticograms (ECoGs) based on motor imagery (MI) the brain–computer interface (BCI) system. is different from traditional feature extraction and classification method. In this paper, proposed employs deep learning algorithm extracting features classification. Specifically, we mainly use convolution neural network (CNN) to extract training data then classify those by combing with gradient boosting (GB) algorithm. The comprehensive CNN GB algorithms will profoundly help us obtain more information brain activities, enabling results human body actions. performance of framework has been evaluated dataset I BCI Competition III. Furthermore, combination provides some ideas future research systems.
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ژورنال
عنوان ژورنال: Electronics
سال: 2021
ISSN: ['2079-9292']
DOI: https://doi.org/10.3390/electronics10020112