The Performance of a Lip-Sync Imagery Model, New Combinations of Signals, a Supplemental Bond Graph Classifier, and Deep Formula Detection as an Extraction and Root Classifier for Electroencephalograms and Brain–Computer Interfaces

The Performance of a Lip-Sync Imagery Model, New Combinations of Signals, a Supplemental Bond Graph Classifier, and Deep Formula Detection as an Extraction and Root Classifier for Electroencephalograms and Brain–Computer Interfaces

Many current brain–computer interface (BCI) applications depend on the quick processing of brain signals. Most researchers strive to create new methods for future implementation and enhance existing models to discover an optimal feature set that can operate independently. This study focuses on four...

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Bibliographic Details
Main Authors: Ahmad Naebi, Zuren Feng
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Applied Sciences
Subjects:
speech imagery
mental task
machine leaning
feature extraction
common spatial pattern (CSP)
filter bank common spatial pattern (FBCSP)
Online Access:https://www.mdpi.com/2076-3417/13/21/11787

Internet

https://www.mdpi.com/2076-3417/13/21/11787

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