Evolutionary computation algorithms for feature selection of EEG-based emotion recognition using mobile sensors

作者：

Highlights：

• A review of state-of-the-art feature extraction methods from electroencephalogram signals.

• A new framework using evolutionary algorithms to find the most optimal features set and channels.

• Comprehensive experimental results based on two public datasets and one newly collected dataset.

摘要

•A review of state-of-the-art feature extraction methods from electroencephalogram signals.•A new framework using evolutionary algorithms to find the most optimal features set and channels.•Comprehensive experimental results based on two public datasets and one newly collected dataset.

论文关键词：Emotion classification,EEG signals,Feature selection,Evolutionary computation algorithms

论文评审过程：Received 12 June 2017, Revised 8 September 2017, Accepted 29 September 2017, Available online 2 October 2017, Version of Record 14 October 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.09.062