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Learning CNN features from DE features for EEG-based emotion recognition · Study

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ArticleLearning CNN features from DE features for EEG-based emotion recognition

Sunhee Hwang2019

Article2019

Learning CNN features from DE features for EEG-based emotion recognition

Sunhee Hwang · Kibeom Hong · Guiyoung Son · Hyeran Byun

165 citations·0/0 files stored·Pattern Analysis and Applications

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Emotion and Mood Recognition EEG and Brain-Computer Interfaces Gaze Tracking and Assistive Technology

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References

1992An argument for basic emotions 2011DEAP: A Database for Emotion Analysis ;Using Physiological Signals 2015Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks 2011A Multimodal Database for Affect Recognition and Implicit Tagging 2013Differential entropy feature for EEG-based emotion classification 2017Emotions Recognition Using EEG Signals: A Survey 2010EEG-Based Emotion Recognition in Music Listening 2017Identifying Stable Patterns over Time for Emotion Recognition from EEG

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2022GANSER: A Self-Supervised Data Augmentation Framework for EEG-Based Emotion Recognition 2025A review on EEG-based multimodal learning for emotion recognition 2023GLFANet: A global to local feature aggregation network for EEG emotion recognition 2023Self-Supervised EEG Emotion Recognition Models Based on CNN 2024A comprehensive review of deep learning in EEG-based emotion recognition: classifications, trends, and practical implications

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Year2019

Typearticle

Published2019-12-06

VenuePattern Analysis and Applications

ISSN-L1433-7541

Languageen

Citations165

Files0 public / 0

ShelfEmotion and Mood Recognition

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doi10.1007/s10044-019-00860-w

openalex_workW2993348073

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2021

Two-Level Domain Adaptation Neural Network for EEG-Based Emotion Recognition

2023EEG-based cross-subject emotion recognition using multi-source domain transfer learning

2020Physiological-signal-based emotion recognition: An odyssey from methodology to philosophy