Decoding emotional changes of android-gamers using a fused Type-2 fuzzy deep neural network

作者：

Highlights：

• Designed a fused type-2 fuzzy deep neural network for online emotion recognition.

• EEG signals and facial images are utilized simultaneously to decode emotional changes.

• Experimented on android-gamers to assess their emotion changes while playing games.

• A phase-sensitive CSP algorithm is modelled to extract features from EEG signal.

摘要

•Designed a fused type-2 fuzzy deep neural network for online emotion recognition.•EEG signals and facial images are utilized simultaneously to decode emotional changes.•Experimented on android-gamers to assess their emotion changes while playing games.•A phase-sensitive CSP algorithm is modelled to extract features from EEG signal.

论文关键词：BCI,Electroencephalography,Deep learning,Type-2 fuzzy set,Emotion recognition,Android games

论文评审过程：Received 21 June 2020, Revised 28 October 2020, Accepted 20 November 2020, Available online 2 December 2020, Version of Record 14 December 2020.

论文官网地址：https://doi.org/10.1016/j.chb.2020.106640