Eeg Mechanism Interaction To Evaluate Vehicle’s Driver Microsleep

QR Code

Eeg Mechanism Interaction To Evaluate Vehicle’s Driver Microsleep

Microsleep or more commonly known as momentary uncontrollable fall asleep in a very short period of time usually occurs between one second to fifteen seconds. In Malaysia, one of the factors that contribute to accidents is due to the microsleep factor when the driver is driving without them being aw...

Full description

Bibliographic Details
Main Author:	Muhammad Hazim, Mohd Yusof
Format:	Undergraduates Project Papers
Language:	English
Published:	2022
Subjects:	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/39911/ http://umpir.ump.edu.my/id/eprint/39911/1/EA18158_HAZIM_THESIS%20-%20Hazim.pdf

Similar Items

EEG mechanism interaction to evaluate vehicle’s driver microsleep
by: Hazim, Yusof, et al.
Published: (2022)

Offline LabVIEW-Based EEG Signals Analysis to Detect Vehicle Driver Microsleep
by: Norizam, Sulaiman, et al.
Published: (2020)

Automatic microsleep detection based on KNN classifier utilizing selected and effective EEG channels
by: Hasan, Md Mahmudul, et al.
Published: (2024)

Microsleep Predicting Comparison Between LSTM and ANN Based on the Analysis of Time Series EEG Signal
by: Hasan, Md Mahmudul, et al.
Published: (2024)

Addressing imbalanced EEG data for improved microsleep detection: An ADASYN, FFT and LDA-based approach
by: Hasan, Md Mahmudul, et al.
Published: (2024)

Ensemble-based machine learning models for vehicle drivers’ fatigue state detection utilizing EEG signals
by: Hasan, Md Mahmudul, et al.
Published: (2024)

Real-time EEG signal analysis for microsleep detection: Hyper-Opt-ANN as a key solution
by: Hassan, Md Mahmudul, et al.
Published: (2025)

An evaluation of different fast fourier transform - transfer learning pipelines for the classification of wink-based EEG signals
by: Jothi Letchumy, Mahendra Kumar, et al.
Published: (2020)

Enhancement of morlet mother wavelet in time–frequency domain in electroencephalogram (EEG) signals for driver fatigue classification
by: Rafiuddin, Abdubrani, et al.
Published: (2023)

Vehicle driver attention tracking during driving based on analysis of brainwaves
by: Muhammad Hazlami, Zolkafli, et al.
Published: (2025)

Random subspace K-NN based ensemble classifier for driver fatigue detection utilizing selected EEG channels
by: Rashid, Mamunur, et al.
Published: (2021)

Hand segmentation for chest pain behaviour of a car driver in vehicle by using fusion watershed and blob analysis
by: Noraizan, Ibrahim, et al.
Published: (2022)

Human hearing disorder recognition model using eeg-aep based signal
by: Md Nahidul, Islam
Published: (2022)

The classification of EEG-based wink signals: A CWT-Transfer Learning pipeline
by: Jothi Letchumy, Mahendra Kumar, et al.
Published: (2021)

Selection and optimization of peak features for event-related eeg signals classification / Asrul bin Adam
by: Asrul, Adam
Published: (2017)

A robust framework for driver fatigue detection from EEG signals using enhancement of modified Z-score and multiple machine learning architectures
by: Rafiuddin, Abdubrani, et al.
Published: (2023)

Development of EEG-based system to identify student learning attention ability
by: Norizam, Sulaiman, et al.
Published: (2022)

Investigation of electroencephalogram (EEG) sensor position for brain-controlled home automation
by: Norizam, Sulaiman, et al.
Published: (2022)

Enhancing driver safety : Real-time eye detection for drowsiness prevention driver assistance systems †
by: Zainah, Md Zain, et al.
Published: (2023)

Deep learning for EEG data analysis
by: Cheah, Kit Hwa
Published: (2018)

Analysis of EEG signals using mathematical morphology decomposition and kurtosis: Detection of epileptiforms
by: Qayoom, Abdul, et al.
Published: (2014)

An enhanced stress indices in signal processing based on advanced matthew correlation coefficient (MCCA) and multimodal function using EEG signal
by: Zarith Liyana, Zahari
Published: (2023)

Wireless Ear-EEG Sensor
by: Ab Razak, Abdul Rauf
Published: (2018)

Analysis of EEG Features to Control Multiple Devices
by: Rashid, Mamunur, et al.
Published: (2018)

Classification of EEG Signal for Body Earthing Application
by: Noor Aisyah , Ab Rahman, et al.
Published: (2017)

Classification of EEG-based auditory evoked potentials using entropy-based features and machine learning techniques
by: Islam, Thamina, et al.
Published: (2023)

Evaluation Of Different Peak Models Of Eye Blink Eeg For Signal Peak Detection Using Artificial Neural Network
by: Asrul, Adam, et al.
Published: (2016)

An effectiveness of EEG signal based on body earthing application
by: Zarith Liyana, Zahari, et al.
Published: (2022)

EEG Spectrogram Classification Employing ANN for IQ Application
by: Mahfuzah, Mustafa, et al.
Published: (2013)

ECG and EEG Monitoring using Power Line Communication
by: C., Sridhathan, et al.
Published: (2014)

Classification of EEG Spectrogram Using ANN for IQ Application
by: Mahfuzah, Mustafa, et al.
Published: (2013)

Analysis of EEG features for brain computer interface application
by: Rashid, Mamunur, et al.
Published: (2019)

To study the characteristics of electroencephalogram (EEG) and its associated artifacts
by: Hamzah, Norani, et al.
Published: (2006)

Evaluation of Different Time Domain Peak Models using Extreme Learning Machine‐Based Peak Detection for EEG Signal
by: Asrul, Adam, et al.
Published: (2016)

Investigation Of Ros Based Vehicle State Estimation With Uncertainties
by: Siti Nuraini, Che Huhaimi
Published: (2022)

Technology advancement in vehicle monitoring system for accident prevention
by: Chai, Neeping, et al.
Published: (2012)

The study of time domain features of EMG signals for detecting driver’s drowsiness
by: Faradila, Naim, et al.
Published: (2022)

Interpretation of Human Thought using EEG Signals and LabVIEW
by: Norizam, Sulaiman, et al.
Published: (2014)

Offline EEG-based DC Motor Control for Wheelchair Application
by: Norizam, Sulaiman, et al.
Published: (2019)

Novel Methods for Stress Features Identification using EEG Signals
by: Norizam, Sulaiman, et al.
Published: (2011)