The classifier algorithm for recognition of basic driving scenarios

Rafał Doniec, Szymon Sieciński*, Natalia Piaseczna, Katarzyna Mocny-Pachońska, Marta Lang, Jacek Szymczyk

*Corresponding author for this work
5 Citations (Scopus)

Abstract

This paper concerns three common but not recognizable driving practices based on sequences of signals from accelerometers, gyroscopes and electrooculograms obtained using state-of-the-art smart eyeglasses. As a result we obtained recordings from twenty volunteers with a set of flagged data assigned to specific actions taken while driving a car during driving lessons. Proposed method achieved a high level of accuracy based on data from smart eyeglasses, predicting appropriate activity classes in approximately 85% of cases without prior knowledge.

Original languageEnglish
Title of host publicationAdvances in Intelligent Systems and Computing
Number of pages9
Volume1186
PublisherSpringer, Cham
Publication date03.09.2020
Pages359-367
ISBN (Print)978-3-030-49665-4
ISBN (Electronic)978-3-030-49666-1
DOIs
Publication statusPublished - 03.09.2020
Event8th International Conference on Information Technology in Biomedicine - Kamień Śląski, Poland
Duration: 15.06.202017.06.2020

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