Drivers' Activity Tracking With JINS MEME Smart Glasses

Citation Author(s):
Rafał
Doniec
Silesian University of Technology
Konrad
Duraj
Silesian University of Technology
Katarzyna
Mocny-Pachońska
Medical University of Silesia
Natalia
Piaseczna
Silesian University of Technology
Szymon
Sieciński
Silesian University of Technology
Ewaryst
Tkacz
Silesian University of Technology
Submitted by:
Szymon Siecinski
Last updated:
Sun, 11/29/2020 - 14:37
DOI:
10.21227/q163-w472
License:
0
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Abstract 

The dataset contains the signal recording acquired on vehicle (car) drivers (ten experienced drivers and ten learner drivers) on the same 28.7 km route in the Silesian Voivodeship (in Polish województwo śląskie) in southern Poland. Experienced drivers performed the tasks in their own cars whereas the learner drivers performed the tasks under a supervison of a driving instructor in a specially marked cars (with L sign). The tasks include driving through a freeway (motorway), city traffic in Bytom, Radzionków, Piekary Śląskie, Tarnowskie Góry, driving in residential areas, driving on a roundabout, parking and driving through an intersection.

If you want to use this dataset, please cite the associating article:

Doniec, R.J.; Sieciński, S.; Duraj, K.M.; Piaseczna, N.J.; Mocny-Pachońska, K.; Tkacz, E.J. Recognition of Drivers’ Activity Based on 1D Convolutional Neural Network. Electronics 2020, 9(12), 2002. doi:10.3390/electronics9122002

Instructions: 

Code

The documentation of code is contained in the README.md file in the code archive.

Data set

Extract the archive file. The data available in CSV files are divided into four categories (traffic, roundabout, intersection, parking) and two groups of drivers (experienced and learners).

Each CSV file name follows the pattern:

category_variant_number of driver

 

Example:

skrzyzowanie_lewo_02.csv

 

Translations of categories and variants:

skrzyzowanie - intersection

rondo - roundabout

ruch - traffic

parkowanie - parking

lewo - left turn

prawo - right turn

prosto - straight ahead

miasto - city

miasto_niezabudowane - city outside built-up area

autostrada - freeway (motorway)

równoległe - parallel

prostopadłe - perpendicular

skos - slant

osiedle - neighbo(u)rhood

 

The CSV files contain date and time of the sample (timestamp), acceleration (X, Y, Z axis), gyration (X, Y, Z axis) and EOG signal (Left, Right, Horizontal, Vertical) samples. One line (after the header) represents one sample.