電気皮膚活動データのための基盤モデル
この研究では、電気皮膚活動（EDA）データのための基盤モデルを提案し、複数のデータセットで事前学習を行い、様々な下流タスクにおいて優れた性能を発揮することを示しています。このモデルは、EDA信号の特徴を効果的に捉え、感情認識やストレス検出などの応用に役立つ可能性があります。
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