Finger trajectory decoding on BCI Competition IV dataset 4 (val)
0.67Average ScoreFingerFlex
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| FingerFlexParameters=approx. 600,0002022.10 | 0.67 | 0.66 | 0.62 | 0.74 | |
| lightGBMReference=Yao et al. (2022)2022.10 | 0.53 | 0.52 | 0.47 | 0.61 | |
| LSTMReference=Xie et al. (2018)2022.10 | 0.52 | 0.56 | 0.41 | 0.58 | |
| Multi-purpose CNNReference=Frey et al. (2021)2022.10 | 0.52 | — | — | — | |
| Liang and Bougrain (2012)Competition Rank=Winner2022.10 | 0.48 | 0.45 | 0.39 | 0.59 | |
| Interpretable CNNReference=Petrosyan et al. (2021)2022.10 | 0.45 | 0.45 | 0.34 | 0.56 | |
| Flamary (2012)Competition Rank=2nd place2022.10 | 0.43 | 0.48 | 0.24 | 0.56 |