Classification of Roads and Types of Public Roads Using EOG Smart Glasses and an Algorithm Based on Machine Learning While Driving a Car

Rafał Doniec, Natalia Piaseczna*, Frédéric Li, Konrad Duraj, Hawzhin Hozhabr Pour, Marcin Grzegorzek, Katarzyna Mocny-Pachońska, Ewaryst Tkacz

*Corresponding author for this work

Abstract

Driving a car is an activity that became necessary for exploration, even when living in the present world. Research exploring the topic of safety on the roads has therefore become increasingly relevant. In this paper, we propose a recognition algorithm based on physiological signals acquired from JINS MEME ES_R smart glasses (electrooculography, acceleration and angular velocity) to classify four commonly encountered road types: city road, highway, housing estate and undeveloped area. Data from 30 drivers were acquired in real driving conditions. Hand-crafted statistical features were extracted from the physiological signals to train and evaluate a random forest classifier. We achieved an overall accuracy, precision, recall and F1 score of 87.64%, 86.30%, 88.12% and 87.08% on the test dataset, respectively.

Original languageEnglish
Article number2960
JournalElectronics (Switzerland)
Volume11
Issue number18
DOIs
Publication statusPublished - 09.2022

Research Areas and Centers

  • Centers: Center for Artificial Intelligence Luebeck (ZKIL)

DFG Research Classification Scheme

  • 407-04 Traffic and Transport Systems, Logistics, Intelligent and Automated Traffic

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