MENTAL ACTIVITY DETECTION FROM EEG RECORDS USING LOCAL BINARY PATTERN METHOD
| dc.contributor.author | Turk, Omer | |
| dc.contributor.author | Ozerdem, Mehmet Sirac | |
| dc.date.accessioned | 2024-04-24T17:45:02Z | |
| dc.date.available | 2024-04-24T17:45:02Z | |
| dc.date.issued | 2017 | |
| dc.department | Dicle Üniversitesi | en_US |
| dc.description | 2017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -- Malatya, TURKEY | en_US |
| dc.description.abstract | Electroencephalogram signals are widely used in the detection of different activities but not in the desired level. In this study with this motivation, it is aimed to obtain the attributes by using the Local Bilinear Pattern (LBP) method of EEG records for various mental activities and to classify these features by k-Nearest Neighbor (k-NN) method. The binary classification performance of these EEG records containing 5 mental tasks was evaluated. In addition, in order to evaluate classification performance, confusion matrix was used as model performance criterion. In the study, the average of the classification performance of all participants was found as 87.38%. As a model performance criterion from the participants' classification of mental activity, accuracy was 85.03%, precision was 85.40% and sensitivity was 85.47%. So, as a result the obtained results support the literature and the applicability of the LBP method for EEG markings has been confirmed. | en_US |
| dc.description.sponsorship | IEEE Turkey Sect,Anatolian Sci | en_US |
| dc.identifier.isbn | 978-1-5386-1880-6 | |
| dc.identifier.uri | https://hdl.handle.net/11468/22398 | |
| dc.identifier.wos | WOS:000426868700111 | |
| dc.identifier.wosquality | N/A | |
| dc.indekslendigikaynak | Web of Science | |
| dc.language.iso | tr | en_US |
| dc.publisher | Ieee | en_US |
| dc.relation.ispartof | 2017 International Artificial Intelligence and Data Processing Symposium (Idap) | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Local Binary Pattern | en_US |
| dc.subject | Mental Activities | en_US |
| dc.subject | K-Nn | en_US |
| dc.title | MENTAL ACTIVITY DETECTION FROM EEG RECORDS USING LOCAL BINARY PATTERN METHOD | en_US |
| dc.type | Conference Object | en_US |
