Cargando…

Optimizing 1D-CNN-Based Emotion Recognition Process through Channel and Feature Selection from EEG Signals

EEG-based emotion recognition has numerous real-world applications in fields such as affective computing, human-computer interaction, and mental health monitoring. This offers the potential for developing IOT-based, emotion-aware systems and personalized interventions using real-time EEG data. This...

Descripción completa

Detalles Bibliográficos
Autores principales:	Aldawsari, Haya, Al-Ahmadi, Saad, Muhammad, Farah
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453543/ https://www.ncbi.nlm.nih.gov/pubmed/37627883 http://dx.doi.org/10.3390/diagnostics13162624

Ejemplares similares

Emotion recognition based on EEG features in movie clips with channel selection
por: Özerdem, Mehmet Siraç, et al.
Publicado: (2017)

Musical Emotions Recognition Using Entropy Features and Channel Optimization Based on EEG
por: Xie, Zun, et al.
Publicado: (2022)

A Comparative Study of Window Size and Channel Arrangement on EEG-Emotion Recognition Using Deep CNN
por: Keelawat, Panayu, et al.
Publicado: (2021)

EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach
por: Asghar, Muhammad Adeel, et al.
Publicado: (2019)

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

A Multi-Column CNN Model for Emotion Recognition from EEG Signals
por: Yang, Heekyung, et al.
Publicado: (2019)

CNN Architectures and Feature Extraction Methods for EEG Imaginary Speech Recognition
por: Rusnac, Ana-Luiza, et al.
Publicado: (2022)

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

EEG-Based Emotion Recognition Using a 2D CNN with Different Kernels
por: Wang, Yuqi, et al.
Publicado: (2022)

Personality-Based Emotion Recognition Using EEG Signals with a CNN-LSTM Network
por: Hosseini, Mohammad Saleh Khajeh, et al.
Publicado: (2023)

Two-dimensional CNN-based distinction of human emotions from EEG channels selected by multi-objective evolutionary algorithm
por: Moctezuma, Luis Alfredo, et al.
Publicado: (2022)

Interpretable Cross-Subject EEG-Based Emotion Recognition Using Channel-Wise Features(†)
por: Jin, Longbin, et al.
Publicado: (2020)

Feature Selection for Continuous within- and Cross-User EEG-Based Emotion Recognition
por: Bendrich, Nicole, et al.
Publicado: (2022)

Linking Multi-Layer Dynamical GCN With Style-Based Recalibration CNN for EEG-Based Emotion Recognition
por: Bao, Guangcheng, et al.
Publicado: (2022)

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

Emotion Recognition Using a Reduced Set of EEG Channels Based on Holographic Feature Maps
por: Topic, Ante, et al.
Publicado: (2022)

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

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)

Optimizing Residual Networks and VGG for Classification of EEG Signals: Identifying Ideal Channels for Emotion Recognition
por: Cheah, Kit Hwa, et al.
Publicado: (2021)

A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition
por: Mustaqeem,, et al.
Publicado: (2019)

Pattern recognition of omicron variants from amalgamated multi-focus EEG signals and X-ray images using deep transfer learning
por: Al-Ahmadi, Saad, et al.
Publicado: (2023)

Blockchain-Based Deep CNN for Brain Tumor Prediction Using MRI Scans
por: Mohammad, Farah, et al.
Publicado: (2023)

Emotion Recognition from Spatio-Temporal Representation of EEG Signals via 3D-CNN with Ensemble Learning Techniques
por: Yuvaraj, Rajamanickam, et al.
Publicado: (2023)

Human state anxiety classification framework using EEG signals in response to exposure therapy
por: Muhammad, Farah, et al.
Publicado: (2022)

Multi-Feature Input Deep Forest for EEG-Based Emotion Recognition
por: Fang, Yinfeng, et al.
Publicado: (2021)

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

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

Identification and Classification of Lungs Focal Opacity Using CNN Segmentation and Optimal Feature Selection
por: Javed, Muhammad Ashar, et al.
Publicado: (2023)

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

Identifying relevant asymmetry features of EEG for emotion processing
por: Mouri, Fatima Islam, et al.
Publicado: (2023)

ReliefF-Based EEG Sensor Selection Methods for Emotion Recognition
por: Zhang, Jianhai, et al.
Publicado: (2016)

Fusion of Motif- and Spectrum-Related Features for Improved EEG-Based Emotion Recognition
por: Tiwari, Abhishek, et al.
Publicado: (2019)

SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG
por: Xing, Xiaofen, et al.
Publicado: (2019)

CR-GCN: Channel-Relationships-Based Graph Convolutional Network for EEG Emotion Recognition
por: Jia, Jingjing, et al.
Publicado: (2022)

Multi-channel EEG emotion recognition through residual graph attention neural network
por: Chao, Hao, et al.
Publicado: (2023)

An innovative EEG-based emotion recognition using a single channel-specific feature from the brain rhythm code method
por: Li, Jia Wen, et al.
Publicado: (2023)

Multi-Level Attention Recognition of EEG Based on Feature Selection
por: Xu, Xin, et al.
Publicado: (2023)

DE-CNN: An Improved Identity Recognition Algorithm Based on the Emotional Electroencephalography
por: Wang, Yingdong, et al.
Publicado: (2020)

Deep-Net: A Lightweight CNN-Based Speech Emotion Recognition System Using Deep Frequency Features
por: Anvarjon, Tursunov, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_k653m9d5oni36ii2b8rq6a4nua