Research Article
An ECoG-Based Binary Classification of BCI Using Optimized Extreme Learning Machine
Table 6
Classification results comparing the proposed system with other systems.
| Contributor | Research lab | Feature extraction | Classifier | Accuracy (%) |
| Qingguo Wei et al. | Tsinghua University | CSSD and FDA | Linear SVM | 91 | Paul Hammon | University of California, San Diego | ICA and AR | SVMs | 87 | Florian Knoll et al. | Graz University of Technology | AAR and band power | LDA | 84 | Kiyoung Yang et al. | University of Southern California | Correlation coefficient | SVM | 81 | Archis Gore | Fergusson College, Pune | Band power | NNW and FDA | 79 | Hyunjin Yoon et al. | University of Southern California | FSS | SVM | 65 | Xi-Chen Sun | Peking University | Time-frequency | Clustering network | 54 | Miharu Nishino et al. | University of Tokyo | Cross-correlation | 1-Nearest neighbor | 44 | Proposed method | Xi’an Jiaotong University | CSP | OELM | 92.31 |
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