Cargando…

Improving Cross-Day EEG-Based Emotion Classification Using Robust Principal Component Analysis

Constructing a robust emotion-aware analytical framework using non-invasively recorded electroencephalogram (EEG) signals has gained intensive attentions nowadays. However, as deploying a laboratory-oriented proof-of-concept study toward real-world applications, researchers are now facing an ecologi...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lin, Yuan-Pin, Jao, Ping-Keng, Yang, Yi-Hsuan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2017
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5515900/ https://www.ncbi.nlm.nih.gov/pubmed/28769778 http://dx.doi.org/10.3389/fncom.2017.00064

Ejemplares similares

Improving EEG-Based Emotion Classification Using Conditional Transfer Learning
por: Lin, Yuan-Pin, et al.
Publicado: (2017)

Incorporation of Multiple-Days Information to Improve the Generalization of EEG-Based Emotion Recognition Over Time
por: Liu, Shuang, et al.
Publicado: (2018)

Classification of Movement Intention Using Independent Components of Premovement EEG
por: Kim, Hyeonseok, et al.
Publicado: (2019)

Principal component analysis of photoplethysmography signals for improved gesture recognition
por: Ruan, Yuwen, et al.
Publicado: (2022)

Dynamic Principal Component Analysis with Nonoverlapping Moving Window and Its Applications to Epileptic EEG Classification
por: Xie, Shengkun, et al.
Publicado: (2014)

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

Validation in Principal Components Analysis Applied to EEG Data
por: Costa, João Carlos G. D., et al.
Publicado: (2014)

EEG-Based Emotion Classification Using a Deep Neural Network and Sparse Autoencoder
por: Liu, Junxiu, et al.
Publicado: (2020)

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

EEG-Based Emotion Recognition Using Deep Learning Network with Principal Component Based Covariate Shift Adaptation
por: Jirayucharoensak, Suwicha, et al.
Publicado: (2014)

Robust Principal Component Thermography for Defect Detection in Composites
por: Ebrahimi, Samira, et al.
Publicado: (2021)

Correlated Components of Ongoing EEG Point to Emotionally Laden Attention – A Possible Marker of Engagement?
por: Dmochowski, Jacek P., et al.
Publicado: (2012)

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

Epilepsy EEG Signal Classification Algorithm Based on Improved RBF
por: Zhou, Dongmei, et al.
Publicado: (2020)

Demixed principal component analysis of neural population data
por: Kobak, Dmitry, et al.
Publicado: (2016)

EEG-Based Emotion Classification Using Improved Cross-Connected Convolutional Neural Network
por: Dai, Jinxiao, et al.
Publicado: (2022)

Fusion of electroencephalographic dynamics and musical contents for estimating emotional responses in music listening
por: Lin, Yuan-Pin, et al.
Publicado: (2014)

Cross-Subject EEG Emotion Recognition With Self-Organized Graph Neural Network
por: Li, Jingcong, et al.
Publicado: (2021)

EEG Correlates of Ten Positive Emotions
por: Hu, Xin, et al.
Publicado: (2017)

Classification of Complex Emotions Using EEG and Virtual Environment: Proof of Concept and Therapeutic Implication
por: De Filippi, Eleonora, et al.
Publicado: (2021)

SLIC Superpixel-Based l(2,1)-Norm Robust Principal Component Analysis for Hyperspectral Image Classification
por: Zu, Baokai, et al.
Publicado: (2019)

Challenge for Affective Brain-Computer Interfaces: Non-stationary Spatio-spectral EEG Oscillations of Emotional Responses
por: Shen, Yi-Wei, et al.
Publicado: (2019)

Multi-Frequent Band Collaborative EEG Emotion Classification Method Based on Optimal Projection and Shared Dictionary Learning
por: Zhu, Jiaqun, et al.
Publicado: (2022)

MS-MDA: Multisource Marginal Distribution Adaptation for Cross-Subject and Cross-Session EEG Emotion Recognition
por: Chen, Hao, et al.
Publicado: (2021)

Cross-Subject EEG-Based Emotion Recognition Through Neural Networks With Stratified Normalization
por: Fdez, Javier, et al.
Publicado: (2021)

Early-stage fusion of EEG and fNIRS improves classification of motor imagery
por: Li, Yang, et al.
Publicado: (2023)

Multi-method Fusion of Cross-Subject Emotion Recognition Based on High-Dimensional EEG Features
por: Yang, Fu, et al.
Publicado: (2019)

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

Improving EEG-Based Driver Fatigue Classification Using Sparse-Deep Belief Networks
por: Chai, Rifai, et al.
Publicado: (2017)

Cross-Domain Transfer of EEG to EEG or ECG Learning for CNN Classification Models
por: Yang, Chia-Yen, et al.
Publicado: (2023)

Stepwise Covariance-Free Common Principal Components (CF-CPC) With an Application to Neuroscience
por: Riaz, Usama, et al.
Publicado: (2021)

Gene Expression Data Classification With Kernel Principal Component Analysis
por: Liu, Zhenqiu, et al.
Publicado: (2005)

An efficient classification method based on principal component and sparse representation
por: Zhai, Lin, et al.
Publicado: (2016)

The Time-Robustness Analysis of Individual Identification Based on Resting-State EEG
por: Di, Yang, et al.
Publicado: (2021)

Utility of Independent Component Analysis for Interpretation of Intracranial EEG
por: Whitmer, Diane, et al.
Publicado: (2010)

Group-level component analyses of EEG: validation and evaluation
por: Huster, Rene J., et al.
Publicado: (2015)

A practical introduction to EEG Time-Frequency Principal Components Analysis (TF-PCA)
por: Buzzell, George A., et al.
Publicado: (2022)

Improving Generalization Based on l(1)-Norm Regularization for EEG-Based Motor Imagery Classification
por: Zhao, Yuwei, et al.
Publicado: (2018)

An improved model using convolutional sliding window-attention network for motor imagery EEG classification
por: Huang, Yuxuan, et al.
Publicado: (2023)

Kernel Principal Component Analysis for dimensionality reduction in fMRI-based diagnosis of ADHD
por: Sidhu, Gagan S., et al.
Publicado: (2012)

Cannot write session to /tmp/vufind_sessions/sess_ehlbt9q2m5jhcc328jbqruba2c