- Home
- Publications
- Publication Search
- Publication Details
Title
Driving Fatigue Detecting Based on EEG Signals of Forehead Area
Authors
Keywords
-
Journal
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
Volume 31, Issue 05, Pages 1750011
Publisher
World Scientific Pub Co Pte Lt
Online
2016-09-30
DOI
10.1142/s0218001417500112
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- EEG entropy measures indicate decrease of cortical information processing in Disorders of Consciousness
- (2016) Alexander Thul et al. CLINICAL NEUROPHYSIOLOGY
- Video-Based Classification of Driving Behavior Using a Hierarchical Classification System with Multiple Features
- (2016) Chao Yan et al. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
- Asymmetric Weighting to Optimize Regional Sensitivity in Combined fMRI-MEG Maps
- (2015) Sean R. McWhinney et al. BRAIN TOPOGRAPHY
- Fisher information distance: A geometrical reading
- (2015) Sueli I.R. Costa et al. DISCRETE APPLIED MATHEMATICS
- The Critical Power Framework Provides Novel Insights Into Fatigue Mechanisms
- (2015) David C. Poole et al. EXERCISE AND SPORT SCIENCES REVIEWS
- The effects of cardiorespiratory fitness and acute aerobic exercise on executive functioning and EEG entropy in adolescents
- (2015) Michael J. Hogan et al. Frontiers in Human Neuroscience
- Separation and Recognition of Electroencephalogram Patterns Using Temporal Independent Component Analysis
- (2015) Ye Liu et al. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
- A practical method for driver sleepiness detection by processing the EEG signals stimulated with external flickering light
- (2015) Seyed Navid Resalat et al. Signal Image and Video Processing
- Multi-Feature Authentication System Based on Event Evoked Electroencephalogram
- (2015) Hu Jianfeng et al. Journal of Medical Imaging and Health Informatics
- Sample Entropy Analysis of EEG Signals via Artificial Neural Networks to Model Patients’ Consciousness Level Based on Anesthesiologists Experience
- (2015) George J. A. Jiang et al. Biomed Research International
- Infra-Slow EEG Fluctuations Are Correlated with Resting-State Network Dynamics in fMRI
- (2014) T. Hiltunen et al. JOURNAL OF NEUROSCIENCE
- Fatigue analysis of box-girder webs subjected to in-plane shear and transverse bending induced by railway traffic
- (2013) Carlos Sousa et al. ENGINEERING STRUCTURES
- Automated Detection of Driver Fatigue Based on Entropy and Complexity Measures
- (2013) Chi Zhang et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- An online EEG BCI based on covert visuospatial attention in absence of exogenous stimulation
- (2013) L Tonin et al. Journal of Neural Engineering
- Automatic detection of drowsiness in EEG records based on multimodal analysis
- (2013) Agustina Garcés Correa et al. MEDICAL ENGINEERING & PHYSICS
- An EEG-based brain–computer interface for dual task driving detection
- (2013) Yu-Kai Wang et al. NEUROCOMPUTING
- On the mechanical behaviour of titanium alloy TiAl6V4 manufactured by selective laser melting: Fatigue resistance and crack growth performance
- (2012) S. Leuders et al. INTERNATIONAL JOURNAL OF FATIGUE
- STATISTICAL PREDICTION OF EMOTIONAL STATES BY PHYSIOLOGICAL SIGNALS WITH MANOVA AND MACHINE LEARNING
- (2012) TUNG-HUNG CHUEH et al. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
- Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness
- (2012) Gianluca Borghini et al. NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
- EEG signal classification using PCA, ICA, LDA and support vector machines
- (2010) Abdulhamit Subasi et al. EXPERT SYSTEMS WITH APPLICATIONS
- Measuring complexity using FuzzyEn, ApEn, and SampEn
- (2008) Weiting Chen et al. MEDICAL ENGINEERING & PHYSICS
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now