Thesis Details
Driver State Monitoring
Driving is considered an important, or even necessary skill in today's world. However, with so much traffic, it is inevitable that accidents occur that might have fatal consequences. The amount of information the driver is suppose to process could lead to stress situations, during which he or she is unable to take rational decisions.
This thesis aims to find the most suitable technologies and methodologies to implement a driver's state monitor, that could predict driver stress level to mitigate the possibility of such accidents. The thesis proposes personal and average monitors to assess driver's stress levels by the means of physiological and kinematics data collected during a drive. Both monitors proved to have high predicting power.
Driver, monitor, stress, physiology, signal processing, classification, clustering.
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Orság Filip, Ing., Ph.D. (DITS FIT BUT), člen
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
@bachelorsthesis{FITBT22719, author = "Barbora Bla\v{s}kov\'{a}", type = "Bachelor's thesis", title = "Driver State Monitoring", school = "Brno University of Technology, Faculty of Information Technology", year = 2020, location = "Brno, CZ", language = "english", url = "https://www.fit.vut.cz/study/thesis/22719/" }