Authors:
Roman Mouček
;
Lukáš Hnojský
;
Lukáš Vařeka
;
Tomáš Prokop
and
Petr Brůha
Affiliation:
University of West Bohemia and Faculty of Applied Sciences, Czech Republic
Keyword(s):
Neuroinformatics, Brain Activity, Electroencephalography, Event Related Potentials, Respiration Rate, Driver's Attention, Simulated Drive, Data Validation, Deep Learning, Stacked Autoencoder.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Biomedical Signal Processing
;
Cognitive Informatics
;
Devices
;
Health Information Systems
;
Human-Computer Interaction
;
Pattern Recognition and Machine Learning
;
Physiological Computing Systems
;
Physiological Modeling
;
Wearable Sensors and Systems
Abstract:
Attention of drivers is very important for road safety and it is worth observing even in laboratory conditions
during a simulated drive. This paper deals with design of an experiment investigating driver’s attention, validation
of collected data, and first preprocessing and processing steps used within data analysis. Brain activity
is considered as a primary biosignal and is measured and analyzed using the techniques and methods of electroencephalography
and event related potentials. Respiration is considered as a secondary biosignal that is
captured together with brain activity. Validation of collected data using a stacked autoencoder is emphasized
as an important step preceding data analysis.