Cargando…

Study on the Effect of Man-Machine Response Mode to Relieve Driving Fatigue Based on EEG and EOG

Rapid and accurate detection of driver fatigue is of great significance to improve traffic safety. In the present work, we propose the man-machine response mode (MRM) to relieve driver fatigue caused by long-term driving. In this paper, the characteristics of the complex brain network, which can eff...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Fuwang, Xu, Qing, Fu, Rongrong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891316/ https://www.ncbi.nlm.nih.gov/pubmed/31717422 http://dx.doi.org/10.3390/s19224883

Ejemplares similares

Study on the Effect of Judgment Excitation Mode to Relieve Driving Fatigue Based on MF-DFA
por: Wang, Fuwang, et al.
Publicado: (2022)

A Novel Fatigue Driving State Recognition and Warning Method Based on EEG and EOG Signals
por: Liu, Li, et al.
Publicado: (2021)

Real-Time ECG-Based Detection of Fatigue Driving Using Sample Entropy
por: Wang, Fuwang, et al.
Publicado: (2018)

A semi-simulated EEG/EOG dataset for the comparison of EOG artifact rejection techniques
por: Klados, Manousos A., et al.
Publicado: (2016)

A dataset of EEG and EOG from an auditory EOG-based communication system for patients in locked-in state
por: Jaramillo-Gonzalez, Andres, et al.
Publicado: (2021)

Feasibility and Safety of Bilateral Hybrid EEG/EOG Brain/Neural–Machine Interaction
por: Nann, Marius, et al.
Publicado: (2020)

Proposals and Comparisons from One-Sensor EEG and EOG Human-Machine Interfaces
por: Laport, Francisco, et al.
Publicado: (2021)

Research on Driving Fatigue Alleviation Using Interesting Auditory Stimulation Based on VMD-MMSE
por: Wang, Fuwang, et al.
Publicado: (2021)

EOG Artifact Correction from EEG Recording Using Stationary Subspace Analysis and Empirical Mode Decomposition
por: Zeng, Hong, et al.
Publicado: (2013)

Study of driving skill level discrimination based on human physiological signal characteristics
por: Wang, Fuwang, et al.
Publicado: (2018)

An EEG/EMG/EOG-Based Multimodal Human-Machine Interface to Real-Time Control of a Soft Robot Hand
por: Zhang, Jinhua, et al.
Publicado: (2019)

Removal of EOG Artifacts from EEG Recordings Using Stationary Subspace Analysis
por: Zeng, Hong, et al.
Publicado: (2014)

Study of Driving Fatigue Alleviation by Transcutaneous Acupoints Electrical Stimulations
por: Wang, Fuwang, et al.
Publicado: (2014)

Deep Coupling Recurrent Auto-Encoder with Multi-Modal EEG and EOG for Vigilance Estimation
por: Song, Kuiyong, et al.
Publicado: (2021)

EEG characteristic analysis of coach bus drivers based on brain connectivity as revealed via a graph theoretical network
por: Wang, Fuwang, et al.
Publicado: (2018)

An EEG-/EOG-Based Hybrid Brain-Computer Interface: Application on Controlling an Integrated Wheelchair Robotic Arm System
por: Huang, Qiyun, et al.
Publicado: (2019)

Development of a Computer Writing System Based on EOG
por: López, Alberto, et al.
Publicado: (2017)

An Automated Wavelet-Based Sleep Scoring Model Using EEG, EMG, and EOG Signals with More Than 8000 Subjects
por: Sharma, Manish, et al.
Publicado: (2022)

EEG/EOG/EMG data from a cross sectional study on psychophysiological insomnia and normal sleep subjects
por: Rezaei, Mohammad, et al.
Publicado: (2017)

Circulant Singular Spectrum Analysis and Discrete Wavelet Transform for Automated Removal of EOG Artifacts from EEG Signals
por: Yedukondalu, Jammisetty, et al.
Publicado: (2023)

Unsupervised Multitaper Spectral Method for Identifying REM Sleep in Intracranial EEG Recordings Lacking EOG/EMG Data
por: Lepage, Kyle Q., et al.
Publicado: (2023)

An Electro-Oculogram (EOG) Sensor’s Ability to Detect Driver Hypovigilance Using Machine Learning
por: Murugan, Suganiya, et al.
Publicado: (2023)

EOG-sEMG Human Interface for Communication
por: Tamura, Hiroki, et al.
Publicado: (2016)

EOG-Based Human–Computer Interface: 2000–2020 Review
por: Belkhiria, Chama, et al.
Publicado: (2022)

Classifying Driving Fatigue by Using EEG Signals
por: Zeng, Changqing, et al.
Publicado: (2022)

Evaluating the Modulation of the Acoustic Startle Reflex in Children and Adolescents via Vertical EOG and EEG: Sex, Age, and Behavioral Effects
por: Giannopoulos, Anastasios E., et al.
Publicado: (2022)

Human–Machine Interface: Multiclass Classification by Machine Learning on 1D EOG Signals for the Control of an Omnidirectional Robot
por: Pérez-Reynoso, Francisco David, et al.
Publicado: (2021)

Enhancing brain-machine interface (BMI) control of a hand exoskeleton using electrooculography (EOG)
por: Witkowski, Matthias, et al.
Publicado: (2014)

ISCEV Standard for Clinical Electro-oculography (EOG) 2006
por: Brown, Malcolm, et al.
Publicado: (2006)

A Hybrid BCI Based on SSVEP and EOG for Robotic Arm Control
por: Zhu, Yuanlu, et al.
Publicado: (2020)

An online hybrid BCI combining SSVEP and EOG-based eye movements
por: Zhang, Jun, et al.
Publicado: (2023)

Study on the Effect of Driving Time on Fatigue of Grassland Road Based on EEG
por: Zhang, Yule, et al.
Publicado: (2021)

Feasibility and safety of shared EEG/EOG and vision-guided autonomous whole-arm exoskeleton control to perform activities of daily living
por: Crea, Simona, et al.
Publicado: (2018)

A Human-Machine Interface Based on an EOG and a Gyroscope for Humanoid Robot Control and Its Application to Home Services
por: Wang, Fan, et al.
Publicado: (2022)

Using Natural Head Movements to Continually Calibrate EOG Signals
por: Nezvadovitz, Jason R., et al.
Publicado: (2022)

Directed Brain Network Analysis for Fatigue Driving Based on EEG Source Signals
por: Qin, Yingmei, et al.
Publicado: (2022)

Application of Graph Neural Network in Driving Fatigue Detection Based on EEG Signals
por: Mu, Zhendong, et al.
Publicado: (2022)

Retracted: Application of Graph Neural Network in Driving Fatigue Detection Based on EEG Signals
por: Intelligence and Neuroscience, Computational
Publicado: (2023)

Study of the Home-Auxiliary Robot Based on BCI
por: Wang, Fuwang, et al.
Publicado: (2018)

Open Software/Hardware Platform for Human-Computer Interface Based on Electrooculography (EOG) Signal Classification
por: Martínez-Cerveró, Jayro, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_hg50upegqkm5fscb9q15t5un47