Five users aged 23, 25, 31, 42, and 46 participated in the experiment. The users sat comfortably in a chair. A green LED of 1 cm diameter was placed at a distance of about 1 meter from a person's eyes. EEG signals were recorded using g.USBAmp with 16 active electrodes. The users were stimulated with flickering LED lights with frequencies: 5 Hz, 6 Hz, 7 Hz, and 8 Hz. The stimulation lasted 30 seconds. The recorded signals were divided into the data used for training, the first 20 seconds, and the data used for testing, the next 10 seconds, for each signal.

DOI Link: 
10.21227/kc6z-8447
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[1] Marcin Kołodziej, Andrzej Majkowski, "SSVEP classification with a limited training dataset", IEEE Dataport, 2022. [Online]. Available: http://dx.doi.org/10.21227/kc6z-8447. Accessed: Mar. 25, 2023.
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doi = {10.21227/kc6z-8447},
url = {http://dx.doi.org/10.21227/kc6z-8447},
author = {Marcin Kołodziej; Andrzej Majkowski },
publisher = {IEEE Dataport},
title = {SSVEP classification with a limited training dataset},
year = {2022} }
TY - DATA
T1 - SSVEP classification with a limited training dataset
AU - Marcin Kołodziej; Andrzej Majkowski
PY - 2022
PB - IEEE Dataport
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Marcin Kołodziej, Andrzej Majkowski. (2022). SSVEP classification with a limited training dataset. IEEE Dataport. http://dx.doi.org/10.21227/kc6z-8447
Marcin Kołodziej, Andrzej Majkowski, 2022. SSVEP classification with a limited training dataset. Available at: http://dx.doi.org/10.21227/kc6z-8447.
Marcin Kołodziej, Andrzej Majkowski. (2022). "SSVEP classification with a limited training dataset." Web.
1. Marcin Kołodziej, Andrzej Majkowski. SSVEP classification with a limited training dataset [Internet]. IEEE Dataport; 2022. Available from : http://dx.doi.org/10.21227/kc6z-8447
Marcin Kołodziej, Andrzej Majkowski. "SSVEP classification with a limited training dataset." doi: 10.21227/kc6z-8447