EEG signal analysis for the assessment and quantification of driver's fatigue

S Kar, M Bhagat, A Routray - … research part F: traffic psychology and …, 2010 - Elsevier
Fatigue in human drivers is a serious cause of road accidents. Hence, it is important to
devise methods to detect and quantify the fatigue. This paper presents a method based on a …

Methods of denoising of electroencephalogram signal: A review

M Sheoran, S Kumar, S Chawla - International Journal of …, 2015 - inderscienceonline.com
Electroencephalogram (EEG) is obtained as a result of electrical activity of neurons in the
brain. These signals have very small amplitudes and hence are quite prone to …

Driver fatigue detection through chaotic entropy analysis of cortical sources obtained from scalp EEG signals

A Chaudhuri, A Routray - IEEE transactions on intelligent …, 2019 - ieeexplore.ieee.org
In this paper, the focus is on the analysis of a scalp electroencephalography (EEG) database
of human subjects using the electrophysiological source imaging or source localization and …

Artifact suppression from EEG signals using data adaptive time domain filtering

MKI Molla, MR Islam, T Tanaka, TM Rutkowski - Neurocomputing, 2012 - Elsevier
This paper presents a data adaptive filtering approach to separate the electrooculograph
(EOG) artifact from the recorded electroencephalograph (EEG) signal. Empirical mode …

The optimal wavelet basis function selection in feature extraction of motor imagery electroencephalogram based on wavelet packet transformation

L Cheng, D Li, X Li, S Yu - IEEE Access, 2019 - ieeexplore.ieee.org
To solve the problem of optimal wavelet basis function selection in feature extraction of
motor imagery electroencephalogram (MI-EEG) by wavelet packet transformation (WPT) …

Cross-subject emotion recognition using fused entropy features of EEG

X Zuo, C Zhang, T Hämäläinen, H Gao, Y Fu, F Cong - Entropy, 2022 - mdpi.com
Emotion recognition based on electroencephalography (EEG) has attracted high interest in
fields such as health care, user experience evaluation, and human–computer interaction …

A novel drowsiness detection scheme based on speech analysis with validation using simultaneous EEG recordings

LS Dhupati, S Kar, A Rajaguru… - 2010 IEEE international …, 2010 - ieeexplore.ieee.org
This paper uses voice response analysis of human subjects for assessing their level of
fatigue. The results are simultaneously validated through Electroencephalography (EEG) …

Modeling of temporarily static objects for robust abandoned object detection in urban surveillance

Q Fan, S Pankanti - 2011 8th IEEE International Conference on …, 2011 - ieeexplore.ieee.org
We propose a robust approach for abandoned object detection in urban surveillance with
over thousands of cameras. For such a large-scale monitoring based on intelligent video …

Real-time hybrid ocular artifact detection and removal for single channel EEG

CA Majmudar, R Mahajan… - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
Electroencephalography (EEG) is a promising technique to record brain activities in natural
settings. However, EEG signals are usually contaminated by Ocular Artifacts (OA) such as …

[PDF][PDF] EEG tabanlı beyin bilgisayar arayüzleri

Ö Aydemir, T Kayıkçıoğlu - Akademik Bilişim, 2009 - researchgate.net
Beyin bilgisayar arayüzü (BBA) kişilere bilgisayar gibi elektronik cihazlarla iletişim kurma
imkanı veren yeni bir teknolojidir. Pratik olarak bu teknoloji kişilerin elektroensefalogram …