Towards student concentration assessment using P300-based brain-computer interface
Fragment książki (Materiały konferencyjne)
MNiSW
15
WOS
| Status: | |
| Autorzy: | Plechawska-Wójcik Małgorzata, Kaczorowska Monika |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Arkusze wydawnicze: | 0,6 |
| Język: | angielski |
| Strony: | 844 - 852 |
| Web of Science® Times Cited: | 0 |
| Bazy: | Web of Science |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | TAK |
| Nazwa konferencji: | 10th International Technology, Education and Development Conference |
| Skrócona nazwa konferencji: | INTED 2016 |
| URL serii konferencji: | LINK |
| Termin konferencji: | 7 marca 2016 do 9 marca 2016 |
| Miasto konferencji: | Valencia |
| Państwo konferencji: | HISZPANIA |
| Publikacja OA: | NIE |
| Abstrakty: | angielski |
| The paper presents results of the student research project dedicated to applying Brain-Computer Interface in concentration study. The applied Brain-Computer Interface is based on electroencephalographic P300 paradigm. It was constructed in order to check students ability to concentrate on a specific task. What is more, the research procedure was implement to adjust the set of parameters applied in the scenario. Tests were performed in Laboratory of Motion Analysis and Interface Ergonomics, which is located at Lublin University of Technology in Poland. Construction of the interface was performed using 21 channel EEG amplifier - Mitsar EEG 201. OpenVibe environment was used to design the experiment. The BCI was dedicated to focus on one of twelve cards to selected it only with brain waves, without using muscles. The BCI is composed of three parts: acquisition scenario, offline classifier training scenario and online scenario. In the classification process Linear Discriminant Analysis classifier was applied. Features were extracted based on eight channel electroencephalographic signal subjected to a filtration and epoching process. Each tested person was calibrated and analyzed individually. It is necessary because of high variability in individuals. The paper presents the Brain-Computer Interface construction and the process of data gathering and analyzing. Several users were tested and results obtained for different set of settings were compared |
