ANALYSIS OF THE POSSIBILITIES OF USING EEG IN ASSESSING PILOTS’ PSYCHOPHYSICAL CONDITION
Journal Title: Scientific Journals of Silesian University of Technology. Series Transport - Year 2017, Vol 95, Issue 95
Abstract
An excessive load on an operator’s cognitive system can cause deterioration in perceptual abilities, decreased reaction time and increased probability of making an incorrect decision, which in turn can lead to a dangerous situation. Researching the cognitive load of an operator can therefore contribute to safer transportation. While there are many methods used in the study of cognitive load, they can be classified as either subjective assessments or objective assessments. This paper presents an analysis of the possibilities of using electroencephalography in assessing the psychophysical condition of the pilot. The investigation was conducted in the Simulation Research Laboratory in the Institute of Combustion Engines and Transport at Poznan University of Technology.
Authors and Affiliations
Marta GALANT, Jerzy MERKISZ
SAFETY MANAGEMENT SYSTEMS IN MAINTENANCE WORKS OF RAILWAY STOCK ON THE BASIS OF IRIS STANDARD
This article presents possibility for quality and safety assurance for passengers and goods of railway transport with standard IRIS implementing. Course of company certification process and requirements was described. Di...
WYZNACZANIE ZA POMOCĄ MEB WPŁYWU PĘKNIĘCIA U PODSTAWY ZĘBA NA ZMIANĘ SZTYWNOŚCI ZAZĘBIENIA
KINEMATICS FRICTION PAIR FOR EXAMPLE NEEDLE BEARINGS
The present study concerns certain phenomena that take place in the needle roller bearing. The friction that generates the anti-torque of a friction pair is the major factor that influences the needle bearing’s wear. In...
WEIGHING SYSTEMS IN TRAFFIC
This article presents a brief overview of weighing systems and devices designed to facilitate fluent and safe road traffic. The number of vehicles on roads is perpetually on the rise, resulting in increased wear of road...
APPLICATION OF GENETIC ALGORITHM AND PRINCIPAL COMPONENT ANALYSIS FOR CHOOSING INPUTS FOR CLASSIFIERS OF TOOTH GEAR FAULTS WHICH USED NEURAL NETWORKS WITH RADIAL NUCLEUS
The paper presents the results of an experimental application of neural network as a classifier of tooth gear faults. The neural classifiers were based on the artificial neural networks with radial nucleus. In the experi...