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Scientific Visualization as a Tool for Signal Processing in EEG Interpretation: Car Driver Sleeping State Detection for Advanced Cars Control Systems (CROSBI ID 66367)

Prilog u knjizi | izvorni znanstveni rad | međunarodna recenzija

Kuzmanić, Ivica ; Vujović, Igor ; Šoda, Joško ; Rogić Vidaković, Maja Scientific Visualization as a Tool for Signal Processing in EEG Interpretation: Car Driver Sleeping State Detection for Advanced Cars Control Systems // Engineering Design Applications III - Structures, Materials and Processes / Öchsner, Andreas ; Altenbach, Holm (ur.). Cham: Springer, 2020. str. 31-44 doi: 10.1007/978-3-030-39062-4_4

Podaci o odgovornosti

Kuzmanić, Ivica ; Vujović, Igor ; Šoda, Joško ; Rogić Vidaković, Maja

engleski

Scientific Visualization as a Tool for Signal Processing in EEG Interpretation: Car Driver Sleeping State Detection for Advanced Cars Control Systems

This paper integrates two scientific areas that are medical brain research into engineering, i.e., control engineering in traffic situations in order that by using scientific tools such as MATLAB and visualization for drowsiness detection of drivers. Scientific visualization is a tool that is used to present the basic idea of the proposed algorithm. The final goal of this research is to detect the driver’s sleeping state, which then can be used as an algorithm in autonomous system in cars as a help to prevent car accidents. Such an algorithm would be a trigger to the vehicle computer, and if an initial stage of sleeping is detected, the vehicle’s computer should override manual control and stop the car as soon as possible. A similar system can be used aboard ships, trains or airplanes. Research of this topic results in big data, which could be hard to understand without proper visualization techniques.

signal processing and analysis ; BMI ; wavelet ; scientific visualization

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Podaci o prilogu

31-44.

objavljeno

10.1007/978-3-030-39062-4_4

Podaci o knjizi

Engineering Design Applications III - Structures, Materials and Processes

Öchsner, Andreas ; Altenbach, Holm

Cham: Springer

2020.

978-3-030-39061-7

1869-8433

1869-8441

Povezanost rada

Elektrotehnika, Kliničke medicinske znanosti, Tehnologija prometa i transport

Poveznice
Indeksiranost