Experimental Design and Collection of Brain and Respiratory Data for Detection of Driver's Attention

被引：0

作者：

Moucek, Roman ^{[1
,2
]}

Hnojsky, Lukas ^{[1
]}

Vareka, Lukas ^{[1
,2
]}

Prokop, Tomas ^{[1
,2
]}

Bruha, Petr ^{[1
,2
]}

机构：

[1] Univ West Bohemia, Dept Comp Sci & Engn, Univ 8, Plzen, Czech Republic

[2] Univ West Bohemia, NTIS, Fac Appl Sci, Univ 8, Plzen, Czech Republic

来源：

PROCEEDINGS OF THE 10TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES, VOL 5: HEALTHINF | 2017年

关键词：

Neuroinformatics; Brain Activity; Electroencephalography; Event Related Potentials; Respiration Rate; Driver's Attention; Simulated Drive; Data Validation; Deep Learning; Stacked Autoencoder; DRIVING TASK; PERFORMANCE;

D O I：

10.5220/0006249504410450

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Attention of drivers is very important for road safety and it is worth observing even in laboratory conditions during a simulated drive. This paper deals with design of an experiment investigating driver's attention, validation of collected data, and first preprocessing and processing steps used within data analysis. Brain activity is considered as a primary biosignal and is measured and analyzed using the techniques and methods of electroencephalography and event related potentials. Respiration is considered as a secondary biosignal that is captured together with brain activity. Validation of collected data using a stacked autoencoder is emphasized as an important step preceding data analysis.

引用

页码：441 / 450

页数：10

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