Feature Pyramid Networks and Long Short-Term Memory for EEG Feature Map-Based Emotion Recognition

Feature Pyramid Networks and Long Short-Term Memory for EEG Feature Map-Based Emotion Recognition

The original EEG data collected are the 1D sequence, which ignores spatial topology information; Feature Pyramid Networks (FPN) is better at small dimension target detection and insufficient feature extraction in the scale transformation than CNN. We propose a method of FPN and Long Short-Term Memor...

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Bibliographic Details
Main Authors: Xiaodan Zhang, Yige Li, Jinxiang Du, Rui Zhao, Kemeng Xu, Lu Zhang, Yichong She
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
biological signal processing
emotion recognition
EEG feature map
feature pyramid networks
long short-term memory
Online Access:https://www.mdpi.com/1424-8220/23/3/1622

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