Finger Decoding on Finger benchmark windowed 9 subjects (test)
0.554Mean Pearson rCORTEG
Evaluation Results
| Method | Links | |
|---|---|---|
| CORTEGTrainable Parameters=297 K, Type=Pooled2026.05 | 0.554 | |
| CORTEGTrainable Parameters=297 K, Type=LOO-FT2026.05 | 0.551 | |
| DeepFingerNetTrainable Parameters=1.16 M, Type=Deep, multi-band wavelet (UNet++)2026.05 | 0.542 | |
| CORTEGTrainable Parameters=297 K, Type=Per-subject2026.05 | 0.539 | |
| HiLoFuseNetTrainable Parameters=334 K, Type=Deep, LFS + HGA dual-stream2026.05 | 0.534 | |
| LSTM_HGATrainable Parameters=361 K, Type=Deep, HGA only2026.05 | 0.485 | |
| CNN-LSTMTrainable Parameters=557 K, Type=Deep, multi-band wavelet2026.05 | 0.411 | |
| PLSTrainable Parameters=—, Type=Linear, multi-band wavelet2026.05 | 0.402 | |
| HOPLSTrainable Parameters=—, Type=Tensor latent-factor, multi-band2026.05 | 0.364 | |
| Ridge_HGATrainable Parameters=—, Type=Linear, HGA only2026.05 | 0.336 | |
| LSTM_LFSTrainable Parameters=361 K, Type=Deep, LFS only2026.05 | 0.276 | |
| Ridge_LFSTrainable Parameters=—, Type=Linear, LFS only2026.05 | 0.181 |