Name
Title | ||
|---|---|---|
Predicting occurrence of errors during a Go/No-Go task from EEG signals using Support Vector Machine. |
Abstract | ||
|---|---|---|
Human error often becomes a serious problem in dairy life. Recent studies have shown that failures of attention and motor errors can be captured before they actually occur in the alpha, theta, and beta-band powers of electroencephalograms (EEGs), suggesting the possibility that errors in motor responses can be predicted. The goal of this study was to use single-trial offline classification to examine how accurately EEG signals recorded before motor responses can predict subsequent errors. Ten subjects performed a Go/No-Go task, and the accuracy of error classification by a Support Vector Machine (SVM) was investigated 1000 ms before presenting the Go/No-Go cue. The resulting mean classification accuracy was 62%, and strong increases and decreases in activities associated with errors were observed in occipital and frontal alpha-band powers. This result suggests the possibility that future errors can be predicted using EEG. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/EMBC.2014.6944733 | EMBC |
Keywords | Field | DocType |
biomechanics,frontal alpha-band powers,cognition,motor error capture,neurophysiology,electroencephalography,error analysis,electroencephalograms,human error occurrence prediction,go/no-go task cue,medical signal processing,theta-band powers,svm,feature extraction,support vector machine,eeg signal recording,signal classification,time 1000 ms,error classification accuracy,beta-band powers,single-trial offline classification,attention failure capture,motor response error prediction,mean classification accuracy,support vector machines,occipital alpha-band powers,ergonomics,suicide prevention,injury prevention,human factors,occupational safety | Brain mapping,Computer science,Support vector machine,Human error,Speech recognition,Go/no go,Accident prevention,Electroencephalography | Conference |
Volume | ISSN | Citations |
2014 | 1557-170X | 0 |
PageRank | References | Authors |
0.34 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shota Yamane | 1 | 0 | 0.34 |
| Isao Nambu | 2 | 14 | 7.58 |
| Yasuhiro Wada | 3 | 0 | 1.35 |