For the data acquisition we used JINS MEME smart glasses -- a device furnished with three-point EOG and six-axis inertial measurement unit (IMU) with an accelerometer and a gyroscope. The sampling frequency of the acquired signals is 100 Hz. The data are transmitted to a computer via Bluetooth or USB and can be exported to CSV file.

Data were acquired under real road conditions from 30 healthy subjects, including twenty experienced drivers and ten students attending a driving school. 16 males and 14 females with average age = 38 +-17 participated in the study.

DOI Link: 
10.21227/4yte-5s06
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Dataset Files

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[1] Rafał Doniec, Natalia Piaseczna, Frédéric Li, "A Dataset for classification of road and types using EOG smart glasses", IEEE Dataport, 2022. [Online]. Available: http://dx.doi.org/10.21227/4yte-5s06. Accessed: Dec. 09, 2023.
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doi = {10.21227/4yte-5s06},
url = {http://dx.doi.org/10.21227/4yte-5s06},
author = {Rafał Doniec; Natalia Piaseczna; Frédéric Li },
publisher = {IEEE Dataport},
title = {A Dataset for classification of road and types using EOG smart glasses},
year = {2022} }
TY - DATA
T1 - A Dataset for classification of road and types using EOG smart glasses
AU - Rafał Doniec; Natalia Piaseczna; Frédéric Li
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PB - IEEE Dataport
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Rafał Doniec, Natalia Piaseczna, Frédéric Li. (2022). A Dataset for classification of road and types using EOG smart glasses. IEEE Dataport. http://dx.doi.org/10.21227/4yte-5s06
Rafał Doniec, Natalia Piaseczna, Frédéric Li, 2022. A Dataset for classification of road and types using EOG smart glasses. Available at: http://dx.doi.org/10.21227/4yte-5s06.
Rafał Doniec, Natalia Piaseczna, Frédéric Li. (2022). "A Dataset for classification of road and types using EOG smart glasses." Web.
1. Rafał Doniec, Natalia Piaseczna, Frédéric Li. A Dataset for classification of road and types using EOG smart glasses [Internet]. IEEE Dataport; 2022. Available from : http://dx.doi.org/10.21227/4yte-5s06
Rafał Doniec, Natalia Piaseczna, Frédéric Li. "A Dataset for classification of road and types using EOG smart glasses." doi: 10.21227/4yte-5s06