運動イメージEEG分類のための転移学習を用いた被験者非依存型畳み込みリレーショナルネットワーク
Zhenis Otarbay1,2, Abzal Kyzyrkanov2
1Department of Robotics Engineering, Nazarbayev University, Astana, Kazakhstan.
畳み込みリレーショナルネットワーク（ConvoReleNet）を用いた転移学習は、運動イメージ（MI）脳波（EEG）分類のためのブレイン・コンピュータ・インターフェース（BCI）の精度を向上させます。このアプローチは、支援技術のための被験者非依存型BCIパフォーマンスを強化します。
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