Brain Activity Recognition Method Based on Attention-Based RNN Mode

Brain Activity Recognition Method Based on Attention-Based RNN Mode

Brain activity recognition based on electroencephalography (EEG) marks a major research orientation in intelligent medicine, especially in human intention prediction, human–computer control and neurological diagnosis. The literature research mainly focuses on the recognition of single-person binary...

ver descrição completa

Detalhes bibliográficos
Principais autores:	Song Zhou, Tianhan Gao
Formato:	Artigo
Idioma:	English
Publicado em:	MDPI AG 2021-11-01
coleção:	Applied Sciences
Assuntos:	brain activity recognition EEG attention-based RNN model XGBoot classifier brain–computer interface
Acesso em linha:	https://www.mdpi.com/2076-3417/11/21/10425

Registros relacionados

HASTF: a hybrid attention spatio-temporal feature fusion network for EEG emotion recognition
por: Fangzhou Hu, et al.
Publicado em: (2024-10-01)

Assessing robustness to adversarial attacks in attention-based networks: Case of EEG-based motor imagery classification
por: Nour El Houda Sayah Ben Aissa, et al.
Publicado em: (2024-08-01)

A Simplified Query-Only Attention for Encoder-Based Transformer Models
por: Hong-gi Yeom, et al.
Publicado em: (2024-09-01)

The Effect of Brain Teaser Games on the Attention of Players Based on Hormonal and Brain Signals Changes
por: Hamed Aliyari, et al.
Publicado em: (2021-09-01)

Diagnosing the MRI brain tumour images through RNN-LSTM
por: Sateesh Amarneni, et al.
Publicado em: (2024-09-01)

AtAwAR Translate: Attention-Aware Language Translation Application in Augmented Reality for Mobile Phones
por: Lisa-Marie Vortmann, et al.
Publicado em: (2022-08-01)

Low-Cost EEG Multi-Subject Recording Platform for the Assessment of Students’ Attention and the Estimation of Academic Performance in Secondary School
por: Victor Juan Fuentes-Martinez, et al.
Publicado em: (2023-11-01)

A novel transformer for attention decoding using EEG
por: Lee, Joon Hei
Publicado em: (2024)

Differential Brain Activation for Four Emotions in VR-2D and VR-3D Modes
por: Chuanrui Zhang, et al.
Publicado em: (2024-03-01)

Novel Machine Learning-Based Brain Attention Detection Systems
por: Junbo Wang, et al.
Publicado em: (2025-01-01)

Developing Innovative Feature Extraction Techniques from the Emotion Recognition Field on Motor Imagery Using Brain–Computer Interface EEG Signals
por: Amr F. Mohamed, et al.
Publicado em: (2024-12-01)

Improving the Accuracy and Effectiveness of Text Classification Based on the Integration of the Bert Model and a Recurrent Neural Network (RNN_Bert_Based)
por: Chanthol Eang, et al.
Publicado em: (2024-09-01)

Ventral and Dorsal Stream EEG Channels: Key Features for EEG-Based Object Recognition and Identification
por: Daniel Leong, et al.
Publicado em: (2023-01-01)

Emotion recognition based on brain and machine collaborative intelligence
por: Dongjun LIU, et al.
Publicado em: (2021-03-01)

Developing a tablet-based brain-computer interface and robotic prototype for upper limb rehabilitation
por: Kishor Lakshminarayanan, et al.
Publicado em: (2024-07-01)

Incorporating Attention Mechanism Into CNN-BiGRU Classifier for HAR
por: Ohoud Nafea, et al.
Publicado em: (2024-01-01)

A Cross-Scale Transformer and Triple-View Attention Based Domain-Rectified Transfer Learning for EEG Classification in RSVP Tasks
por: Jie Luo, et al.
Publicado em: (2024-01-01)

Emotion Recognition Based on a EEG–fNIRS Hybrid Brain Network in the Source Space
por: Mingxing Hou, et al.
Publicado em: (2024-11-01)

Human in the collaborative loop: a strategy for integrating human activity recognition and non-invasive brain-machine interfaces to control collaborative robots
por: Artur Pilacinski, et al.
Publicado em: (2024-09-01)

Multi-Region and Multi-Band Electroencephalogram Emotion Recognition Based on Self-Attention and Capsule Network
por: Sheng Ke, et al.
Publicado em: (2024-01-01)

Graph Convolutional Neural Network Based Emotion Recognition with Brain Functional Connectivity Network
por: Pengzhi Gao, et al.
Publicado em: (2024-09-01)

AttentionCARE: replicability of a BCI for the clinical application of augmented reality-guided EEG-based attention modification for adolescents at high risk for depression
por: Richard Gall, et al.
Publicado em: (2024-07-01)

Directional Spatial and Spectral Attention Network (DSSA Net) for EEG-based emotion recognition
por: Jiyao Liu, et al.
Publicado em: (2025-01-01)

A Lightweight GCT-EEGNet for EEG-Based Individual Recognition Under Diverse Brain Conditions
por: Laila Alshehri, et al.
Publicado em: (2024-10-01)

Decoding Pain: A Comprehensive Review of Computational Intelligence Methods in Electroencephalography-Based Brain–Computer Interfaces
por: Hadeel Alshehri, et al.
Publicado em: (2025-01-01)

SSTMNet: Spectral-Spatio-Temporal and Multiscale Deep Network for EEG-Based Motor Imagery Classification
por: Albandari Alotaibi, et al.
Publicado em: (2025-02-01)

EEG-based depression recognition using feature selection method with fuzzy label
por: Yalin Li, et al.
Publicado em: (2024-03-01)

Adversarial Defense Based on Denoising Convolutional Autoencoder in EEG-Based Brain–Computer Interfaces
por: Yongting Ding, et al.
Publicado em: (2024-01-01)

Brainprint based on functional connectivity and asymmetry indices of brain regions: A case study of biometric person identification with non‐expensive electroencephalogram headsets
por: Jordan Ortega‐Rodríguez, et al.
Publicado em: (2023-05-01)

Dysfluent Speech Classification Using Variational Mode Decomposition and Complete Ensemble Empirical Mode Decomposition Techniques With NGCU-Based RNN
por: N. A. Vinay, et al.
Publicado em: (2024-01-01)

Thank you for attention: A survey on attention-based artificial neural networks for automatic speech recognition
por: Priyabrata Karmakar, et al.
Publicado em: (2024-09-01)

Neural Dynamics of Target Detection via Wireless EEG in Embodied Cognition
por: Congying He, et al.
Publicado em: (2021-07-01)

Music emotion recognition based on temporal convolutional attention network using EEG
por: Yinghao Qiao, et al.
Publicado em: (2024-03-01)

Parameter-based RNN micro-interface inversion model for wet friction components morphology
por: Jianpeng Wu, et al.
Publicado em: (2024-12-01)

Brain Wearables: Validation Toolkit for Ear-Level EEG Sensors
por: Guilherme Correia, et al.
Publicado em: (2024-02-01)

P300-based brain-computer interface for target selection /
por: Siti Hanis Halim, 1993- , author, et al.
Publicado em: (2016)

Brain–machine interface based on deep learning to control asynchronously a lower-limb robotic exoskeleton: a case-of-study
por: Laura Ferrero, et al.
Publicado em: (2024-04-01)

RECOGNITION OF COGNITIVE POTENTIALS TO THE TARGET STIMULI IN THE BRAIN-COMPUTER INTERFACE ON THE BASIS OF THE ENSEMBLE OF CLASSIFIERS
por: D A Kirjanov, et al.
Publicado em: (2016-09-01)

Understanding the brain with attention: A survey of transformers in brain sciences
por: Cheng Chen, et al.
Publicado em: (2023-09-01)

CLINICAL EXPERIENCE OF POST-STROKE REHABILITATION WITH THE USE OF HAND EXOSKELETON CONTROLLED BY BRAIN-COMPUTER INTERFACE
por: A A Frolov, et al.
Publicado em: (2016-09-01)