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ArticleEEG-based Emotion Recognition with Feature Fusion Networks

Qiang Gao2021

Article2021

EEG-based Emotion Recognition with Feature Fusion Networks

Qiang Gao · Yi Yang · Qiaoju Kang · Zekun Tian · Yu Song

99 citations·0/0 files stored·International Journal of Machine Learning and Cybernetics

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

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References

1994Measuring emotion: The self-assessment manikin and the semantic differential 1974An approach to environmental psychology 2011DEAP: A Database for Emotion Analysis ;Using Physiological Signals 2001Emotion recognition in human-computer interaction 2013Differential entropy feature for EEG-based emotion classification 2017Emotions Recognition Using EEG Signals: A Survey 2014EEG-Based Emotion Recognition Using Deep Learning Network with Principal Component Based Covariate Shift Adaptation 2018Exploring EEG Features in Cross-Subject Emotion Recognition

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2025Advances in EEG-based emotion recognition: Challenges, methodologies, and future directions 2023Temporal relative transformer encoding cooperating with channel attention for EEG emotion analysis 2024Developing an EEG-Based Emotion Recognition Using Ensemble Deep Learning Methods and Fusion of Brain Effective Connectivity Maps 2022A multiple frequency bands parallel spatial–temporal 3D deep residual learning framework for EEG-based emotion recognition 2024EEG emotion recognition based on differential entropy feature matrix through 2D-CNN-LSTM network

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Details

Year2021

Typearticle

Published2021-08-21

VenueInternational Journal of Machine Learning and Cybernetics

ISSN-L1868-8071

Languageen

Citations99

Files0 public / 0

ShelfEmotion and Mood Recognition

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doi10.1007/s13042-021-01414-5

openalex_workW3193300679

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2023Fractal Spiking Neural Network Scheme for EEG-Based Emotion Recognition

2023Customized 2D CNN Model for the Automatic Emotion Recognition Based on EEG Signals