Domain adaptation techniques for EEG-based emotion recognition : a comparative study on two public datasets

• Main Authors: Lan, Zirui, Sourina, Olga, Wang, Lipo, Scherer, Reinhold, Muller-Putz, Gernot R.
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Article
• 語言: English
• 出版: 2020
• 主題: Engineering::Electrical and electronic engineering; Affective Brain–computer Interface; Cross Dataset
• 在線閱讀: https://hdl.handle.net/10356/144553
• 機構: Nanyang Technological University

Affective brain-computer interface (aBCI) introduces personal affective factors to human-computer interaction. The state-of-the-art aBCI tailors its classifier to each individual user to achieve accurate emotion classification. A subject-independent classifier that is trained on pooled data from mul...