Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikace
HAUPT, D. HONZÍK, P. KUČERA, P. HYNČICA, O.
Originální název
CLASSIFICATION OF DRIVER'S DROWSINESS FROM STEERING WHEEL MOTION UNDER REAL TRAFFIC CONDITIONS
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
To develop a system for drivers drowsiness recognition is a challenging task in the modern car transportation. Many studies have promising results. Unfortunately most data is acquired in the laboratory conditions. Therefore proving drowsiness detection reliability and accuracy in real traffic is difficult. The analyzed data in this paper is acquired from the real traffic and hence it contains all uncertainty. An in-direct measurement from the vehicle CAN bus has been chosen for data acquisition in order to not affect the driver. The data is preprocessed according to the assumptions about drivers behavior and transformed to the frequency domain by means of the orthogonal transform (STFT, CWT and DWT). Subsequently, in the frequency domain, more than 70 000 features are generated. By means of the filter feature selection, 10 best features are chosen for a prediction. Finally, 1-NN model is used for prediction accuracy estimation.
Klíčová slova
drowsiness, driver, Wavelet transform, Fourier transform, feature generation, AUC, LOOCV, CV
Autoři
HAUPT, D.; HONZÍK, P.; KUČERA, P.; HYNČICA, O.
Rok RIV
2012
Vydáno
27. 6. 2012
ISBN
978-80-214-4540-6
Kniha
MENDEL 2012, 18th International Conference on Soft Computing
Strany od
428
Strany do
433
Strany počet
6
BibTex
@inproceedings{BUT93627, author="Daniel {Haupt} and Petr {Honzík} and Pavel {Kučera} and Ondřej {Hynčica}", title="CLASSIFICATION OF DRIVER'S DROWSINESS FROM STEERING WHEEL MOTION UNDER REAL TRAFFIC CONDITIONS", booktitle="MENDEL 2012, 18th International Conference on Soft Computing", year="2012", pages="428--433", isbn="978-80-214-4540-6" }