Tetromino pattern based accurate EEG emotion classification model

作者：

Highlights：

• Accurate emotion classification system is proposed.

• Three EEG emotion dataset were used as testbed.

• Novel feature generation tetromino pattern is employed.

• This method attained over 99% classification accuracies for all datasets.

摘要

•Accurate emotion classification system is proposed.•Three EEG emotion dataset were used as testbed.•Novel feature generation tetromino pattern is employed.•This method attained over 99% classification accuracies for all datasets.

论文关键词：Tetromino,Features,EEG,Emotion,Classification,DWT

论文评审过程：Received 12 March 2021, Revised 31 October 2021, Accepted 1 November 2021, Available online 4 November 2021, Version of Record 18 November 2021.

论文官网地址：https://doi.org/10.1016/j.artmed.2021.102210