The circadian effect on psychophysiological driver state monitoring

SI Kaduk, APJ Roberts, NA Stanton - Theoretical Issues in …, 2021 - Taylor & Francis
Driving is an everyday activity but also brings a substantial risk. Driver state monitoring is a
potential method to alleviate such risk by detecting unsafe driver states. Monitoring systems …

[HTML][HTML] A study of various feature extraction methods on a motor imagery based brain computer interface system

SN Resalat, V Saba - Basic and clinical neuroscience, 2016 - ncbi.nlm.nih.gov
Methods: This study applied wide variety of features on the recorded data using Linear
Discriminant Analysis (LDA) classifier to select the best feature sets in the offline mode. The …

[HTML][HTML] Real time driver's drowsiness detection by processing the EEG signals stimulated with external flickering light

A Hashemi, V Saba, SN Resalat - Basic and clinical neuroscience, 2014 - ncbi.nlm.nih.gov
The objective of this study is development of driver's sleepiness using Visually Evoked
Potentials (VEP). VEP computed from EEG signals from the visual cortex. We use the Steady …

A practical method for driver sleepiness detection by processing the EEG signals stimulated with external flickering light

SN Resalat, V Saba - Signal, Image and Video Processing, 2015 - Springer
A novel steady state visual evoked potential (SSVEP)-based BCI system for driver's
sleepiness monitoring is proposed. Detecting the driver's concentration is one of the most …

A nonlinear dynamical approach to analysis of emotions using EEG signals based on the Poincaré map function and recurrence plots

MB Khodabakhshi, V Saba - … Engineering/Biomedizinische Technik, 2020 - degruyter.com
Dynamic variations of electroencephalogram (EEG) contain significant information in the
study of human emotional states. Transient time methods are well suited to evaluate short …

A brain wave-verified driver alert system for vehicle collision avoidance

P Riyahi, A Eskandarian, C Zhang - SAE International journal of …, 2021 - JSTOR
Collision alert and avoidance systems (CAS) could help to minimize driver errors. They are
instrumental as an advanced driver-assistance system (ADAS) when the vehicle is facing …

Real-time monitoring of military sentinel sleepiness using a novel SSVEP-based BCI system

SN Resalat, F Afdideh - 2012 IEEE-EMBS Conference on …, 2012 - ieeexplore.ieee.org
Brain Computer Interface (BCI) creates a new communication channel for people who have
motor disabilities. In recent years, SSVEP-based BCI has been focused widely, due to its …

Analysis of Student Attention in Classroom Using Instance Segmentation

K Meenakshi, A Vina, A Shobanadevi… - … : Proceedings of ICIDCA …, 2022 - Springer
As the youth mind rapidly evolves, education systems keep changing parallelly to remain
effective. However, today's education system focuses primarily on delivering knowledge but …

A real-time electroencephalography classification in emotion assessment based on synthetic statistical-frequency feature extraction and feature selection

V Saba, A Rocky - 2016 - sid.ir
Purpose: To assess three main EMOTIONS (happy, sad and calm) by various classifiers,
using appropriate feature extraction and feature selection. Materials and METHODS: In this …

[HTML][HTML] Una prueba fuera del laboratorio de una interfaz cerebro computador basada en potenciales de estado estable evocados visualmente

EF Caicedo Bravo, JE Cardona Aristizábal - Tecnura, 2016 - scielo.org.co
Contexto: Los potenciales de estado estable evocados visualmente (SSVEP) surgen como
una de las señales medidas del cerebro más promisorias para la implementación de …