Pregled bibliografske jedinice broj: 1056874
Scientific Visualization as a Tool for Signal Processing in EEG Interpretation: Car Driver Sleeping State Detection for Advanced Cars Control Systems
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
CROSBI ID: 1056874 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Scientific Visualization as a Tool for Signal
Processing in EEG Interpretation: Car Driver
Sleeping State Detection for Advanced Cars
Control Systems
Autori
Kuzmanić, Ivica ; Vujović, Igor ; Šoda, Joško ; Rogić Vidaković, Maja
Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni
Knjiga
Engineering Design Applications III - Structures, Materials and Processes
Urednik/ci
Öchsner, Andreas ; Altenbach, Holm
Izdavač
Springer
Grad
Cham
Godina
2020
Raspon stranica
31-44
ISBN
978-3-030-39061-7
ISSN
1869-8433
Ključne riječi
signal processing and analysis ; BMI ; wavelet ; scientific visualization
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Tehnologija prometa i transport, Kliničke medicinske znanosti
POVEZANOST RADA
Ustanove:
Medicinski fakultet, Split,
Pomorski fakultet, Split
Profili:
Ivica Kuzmanić
(autor)
Maja Rogić Vidaković
(autor)
Joško Šoda
(autor)
Igor Vujović
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Book Citation Index - Science (BKCI-S)
- Scopus