Cargando…

FCAN–XGBoost: A Novel Hybrid Model for EEG Emotion Recognition

In recent years, artificial intelligence (AI) technology has promoted the development of electroencephalogram (EEG) emotion recognition. However, existing methods often overlook the computational cost of EEG emotion recognition, and there is still room for improvement in the accuracy of EEG emotion...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zong, Jing, Xiong, Xin, Zhou, Jianhua, Ji, Ying, Zhou, Diao, Zhang, Qi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10304516/ https://www.ncbi.nlm.nih.gov/pubmed/37420845 http://dx.doi.org/10.3390/s23125680

Ejemplares similares

CNN-XGBoost fusion-based affective state recognition using EEG spectrogram image analysis
por: Khan, Md. Sakib, et al.
Publicado: (2022)

Coal gangue recognition based on spectral imaging combined with XGBoost
por: Zhou, Minghao, et al.
Publicado: (2023)

EEG-based emotion recognition using hybrid CNN and LSTM classification
por: Chakravarthi, Bhuvaneshwari, et al.
Publicado: (2022)

Hybrid transfer learning strategy for cross-subject EEG emotion recognition
por: Lu, Wei, et al.
Publicado: (2023)

DEEMD-SPP: A Novel Framework for Emotion Recognition Based on EEG Signals
por: Chen, Jing, et al.
Publicado: (2022)

An Investigation of Deep Learning Models for EEG-Based Emotion Recognition
por: Zhang, Yaqing, et al.
Publicado: (2020)

Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification
por: Zivkovic, Miodrag, et al.
Publicado: (2022)

EEG Emotion Recognition Applied to the Effect Analysis of Music on Emotion Changes in Psychological Healthcare
por: Zhou, Tie Hua, et al.
Publicado: (2022)

Introduction to EEG- and speech-based emotion recognition
por: Abhang, Priyanka A, et al.
Publicado: (2016)

Familiarity effects in EEG-based emotion recognition
por: Thammasan, Nattapong, et al.
Publicado: (2016)

Fusion Graph Representation of EEG for Emotion Recognition
por: Li, Menghang, et al.
Publicado: (2023)

Real-Time EEG-Based Emotion Recognition
por: Yu, Xiangkun, et al.
Publicado: (2023)

Optimized Projection and Fisher Discriminative Dictionary Learning for EEG Emotion Recognition
por: Gu, Xiaoqing, et al.
Publicado: (2021)

Multi-Model Adaptation Learning With Possibilistic Clustering Assumption for EEG-Based Emotion Recognition
por: Dan, Yufang, et al.
Publicado: (2022)

Hybrid XGBoost model with hyperparameter tuning for prediction of liver disease with better accuracy
por: Dalal, Surjeet, et al.
Publicado: (2022)

A hybrid model for EEG-based gender recognition
por: Wang, Ping, et al.
Publicado: (2019)

Depression Assessment Method: An EEG Emotion Recognition Framework Based on Spatiotemporal Neural Network
por: Chang, Hongli, et al.
Publicado: (2022)

Local domain generalization with low-rank constraint for EEG-based emotion recognition
por: Tao, Jianwen, et al.
Publicado: (2023)

Deep learning-based self-induced emotion recognition using EEG
por: Ji, Yerim, et al.
Publicado: (2022)

Possibilistic Clustering-Promoting Semi-Supervised Learning for EEG-Based Emotion Recognition
por: Dan, Yufang, et al.
Publicado: (2021)

Deep Sparse Autoencoder and Recursive Neural Network for EEG Emotion Recognition
por: Li, Qi, et al.
Publicado: (2022)

Exploring EEG Features in Cross-Subject Emotion Recognition
por: Li, Xiang, et al.
Publicado: (2018)

Fusion of Facial Expressions and EEG for Multimodal Emotion Recognition
por: Huang, Yongrui, et al.
Publicado: (2017)

EEG-Based BCI Emotion Recognition: A Survey
por: Torres, Edgar P., et al.
Publicado: (2020)

EEG Feature Extraction and Data Augmentation in Emotion Recognition
por: Kalashami, Mahsa Pourhosein, et al.
Publicado: (2022)

EEG Emotion Recognition by Fusion of Multi-Scale Features
por: Du, Xiuli, et al.
Publicado: (2023)

EEG-Based Emotion Recognition with Consideration of Individual Difference
por: Xia, Yuxiao, et al.
Publicado: (2023)

Feature extraction based on microstate sequences for EEG–based emotion recognition
por: Chen, Jing, et al.
Publicado: (2022)

CDBA: a novel multi-branch feature fusion model for EEG-based emotion recognition
por: Huang, Zhentao, et al.
Publicado: (2023)

Multidimensional Feature in Emotion Recognition Based on Multi-Channel EEG Signals
por: Li, Qi, et al.
Publicado: (2022)

Cross-Subject EEG Feature Selection for Emotion Recognition Using Transfer Recursive Feature Elimination
por: Yin, Zhong, et al.
Publicado: (2017)

Cross-Subject Emotion Recognition Using Fused Entropy Features of EEG
por: Zuo, Xin, et al.
Publicado: (2022)

Investigating Patterns for Self-Induced Emotion Recognition from EEG Signals
por: Zhuang, Ning, et al.
Publicado: (2018)

Multi-subject subspace alignment for non-stationary EEG-based emotion recognition
por: Chai, Xin, et al.
Publicado: (2018)

A EEG-based emotion recognition model with rhythm and time characteristics
por: Yan, Jianzhuo, et al.
Publicado: (2019)

Emotion Recognition Using a Novel Granger Causality Quantifier and Combined Electrodes of EEG
por: Goshvarpour, Atefeh, et al.
Publicado: (2023)

The Effect of Time Window Length on EEG-Based Emotion Recognition
por: Ouyang, Delin, et al.
Publicado: (2022)

EEG-Based Emotion Recognition Using an Improved Weighted Horizontal Visibility Graph
por: Kong, Tianjiao, et al.
Publicado: (2021)

Expression-EEG Bimodal Fusion Emotion Recognition Method Based on Deep Learning
por: Lu, Yu, et al.
Publicado: (2021)

Emotion Recognition from EEG Signals Using Multidimensional Information in EMD Domain
por: Zhuang, Ning, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_kt460ln60mhpc2bn98n63bnrsn