Locally robust EEG feature selection for individual-independent emotion recognition

作者：

Highlights：

• A new locally-robust feature selection for electroencephalography was designed.

• Individual-independent emotion recognition issue was investigated.

• Public DEAP and MAHNOB-HCI databases were used to validate the proposed method.

摘要

•A new locally-robust feature selection for electroencephalography was designed.•Individual-independent emotion recognition issue was investigated.•Public DEAP and MAHNOB-HCI databases were used to validate the proposed method.

论文关键词：Emotion recognition,Affective computing,Physiological signals,Machine learning,Feature selection

论文评审过程：Received 17 September 2019, Revised 30 May 2020, Accepted 14 July 2020, Available online 25 July 2020, Version of Record 30 July 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113768