Exploring EEG Features in Cross-Subject Emotion Recognition

Exploring EEG Features in Cross-Subject Emotion Recognition

Recognizing cross-subject emotions based on brain imaging data, e.g., EEG, has always been difficult due to the poor generalizability of features across subjects. Thus, systematically exploring the ability of different EEG features to identify emotional information across subjects is crucial. Prior...

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Bibliographic Details
Main Authors: Xiang Li, Dawei Song, Peng Zhang, Yazhou Zhang, Yuexian Hou, Bin Hu
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-03-01
Series:Frontiers in Neuroscience
Subjects:
EEG
emotion recognition
feature engineering
DEAP dataset
SEED dataset
Online Access:http://journal.frontiersin.org/article/10.3389/fnins.2018.00162/full

Internet

http://journal.frontiersin.org/article/10.3389/fnins.2018.00162/full

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