Topics

EEG-Based Driver Drowsiness Estimation Using Feature Weighted Episodic Training.

08:00 EDT 7th October 2019 | BioPortfolio

Summary of "EEG-Based Driver Drowsiness Estimation Using Feature Weighted Episodic Training."

Drowsy driving is pervasive, and also a major cause of traffic accidents. Estimating a driver's drowsiness level by monitoring the electroencephalogram (EEG) signal and taking preventative actions accordingly may improve driving safety. However, individual differences among different drivers make this task very challenging. A calibration session is usually required to collect some subject-specific data and tune the model parameters before applying it to a new subject, which is very inconvenient and not user-friendly. Many approaches have been proposed to reduce the calibration effort, but few can completely eliminate it. This paper proposes a novel approach, feature weighted episodic training (FWET), to completely eliminate the calibration requirement. It integrates two techniques: feature weighting to learn the importance of different features, and episodic training for domain generalization. Experiments on EEG-based driver drowsiness estimation demonstrated that both feature weighting and episodic training are effective, and their integration can further improve the generalization performance. FWET does not need any labelled or unlabelled calibration data from the new subject, and hence could be very useful in plugand-play brain-computer interfaces.

Affiliation

Journal Details

This article was published in the following journal.

Name: IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
ISSN: 1558-0210
Pages:

Links

DeepDyve research library

PubMed Articles [16955 Associated PubMed Articles listed on BioPortfolio]

The detection of drowsiness using a driver monitoring system.

Drowsiness is a major cause of driver impairment leading to crashes and fatalities. Research has established the ability to detect drowsiness with various kinds of sensors. We studied drowsy driving i...

A Structure-Based Human Facial Age Estimation Framework under a Constrained Condition.

Developing an automatic age estimation method towards human faces continues to possess an important role in computer vision and pattern recognition. Many studies regarding facial age estimation mainly...

WITER: a powerful method for estimation of cancer-driver genes using a weighted iterative regression modelling background mutation counts.

Genomic identification of driver mutations and genes in cancer cells are critical for precision medicine. Due to difficulty in modelling distribution of background mutation counts, existing statistica...

Narrative review: Do spontaneous eye blink parameters provide a useful assessment of state drowsiness?

Most objective drowsiness measures have limited ability to provide continuous, accurate assessment of drowsiness state in operational settings. Spontaneous eye blink parameters are ideal for drowsines...

A nonparametric weighted feature extraction-based method for c-Jun N-terminal kinase-3 inhibitor prediction.

In this work, the application of a new strategy called NWFE ensemble (nonparametric weighted feature extraction ensemble) method is proposed. Subspace-supervised projections based on NWFE are incorpor...

Clinical Trials [4096 Associated Clinical Trials listed on BioPortfolio]

SynCardia Freedom Driver System Study

The purposes of this study are to confirm that the Freedom Driver System is a suitable pneumatic driver for clinically stable TAH-t subjects, and that patients and lay caregivers can be t...

CPAP Device In-lab Assessment NZ

The purpose of this trial is to assess device performance against participants in an overnight study to ensure the product meets user and clinical requirements

Can Habitus Adapted Length Based Body Weight Estimation be Improved by Adding Further Parameters?

The purpose of this prospective single center study is to investigate if the accuracy of length based body weight estimation by the already investigated algorithm (CLAWAR) can be improved ...

Weighted Pacifier Vs. Non-Weighted Pacifier

This study will determine if it is beneficial to use a weighted pacifier in neonates.

Assessment of Renal Physiology by Magnetic Resonance Imaging (MRI) in Normal Volunteers

Estimation of Glomerular Filtration Rate (GFR) is the primary test used to assess patients with renal disease. Although serum creatinine based GFR and nuclear medicine based estimations ar...

Medical and Biotech [MESH] Definitions

Government required written and driving test given to individuals prior to obtaining an operator's license.

Standards for limiting worker exposure to airborne contaminants. They are the maximum concentration in air at which it is believed that a particular substance will not produce adverse health effects with repeated daily exposure. It can be a time-weighted average (TLV-TWA), a short-term value (TLV-STEL), or an instantaneous value (TLV-Ceiling). They are expressed either as parts per million (ppm) or milligram per cubic meter (mg/m3).

The effect of environmental or physiological factors on the driver and driving ability. Included are driving fatigue, and the effect of drugs, disease, and physical disabilities on driving.

Drugs used to induce drowsiness or sleep or to reduce psychological excitement or anxiety.

Involuntary shock-like contractions, irregular in rhythm and amplitude, followed by relaxation, of a muscle or a group of muscles. This condition may be a feature of some CENTRAL NERVOUS SYSTEM DISEASES; (e.g., EPILEPSY, MYOCLONIC). Nocturnal myoclonus is the principal feature of the NOCTURNAL MYOCLONUS SYNDROME. (From Adams et al., Principles of Neurology, 6th ed, pp102-3).

Quick Search


DeepDyve research library

Searches Linking to this Article