A Feature Extraction Method Based on Differential Entropy and Linear Discriminant Analysis for Emotion Recognition

A Feature Extraction Method Based on Differential Entropy and Linear Discriminant Analysis for Emotion Recognition

Feature extraction of electroencephalography (EEG) signals plays a significant role in the wearable computing field. Due to the practical applications of EEG emotion calculation, researchers often use edge calculation to reduce data transmission times, however, as EEG involves a large amount of data...

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Bibliographic Details
Main Authors: Dong-Wei Chen, Rui Miao, Wei-Qi Yang, Yong Liang, Hao-Heng Chen, Lan Huang, Chun-Jian Deng, Na Han
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Sensors
Subjects:
emotion recognition
feature extraction
differential entropy
linear discriminant analysis
electroencephalography
Online Access:https://www.mdpi.com/1424-8220/19/7/1631

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https://www.mdpi.com/1424-8220/19/7/1631

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