NinaPro
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Myoelectric Gesture Recognition | Ninapro DB4 | Accuracy70.05 | 65 | |
| Myoelectric Gesture Recognition | Ninapro DB2 | Accuracy77.86 | 60 | |
| Hand gesture classification | Ninapro DB4 | Accuracy71.29 | 26 | |
| Gesture Recognition | Ninapro DB7 | Accuracy79.78 | 26 | |
| Gesture Recognition | Ninapro DB2 | Accuracy75.61 | 26 | |
| sEMG-based activity recognition | NinaPro DB2 | ACC (Exercise A)93.42 | 11 | |
| Gesture classification | Ninapro DB4 (Leave-One-Subject-Out (LOSO)) | Accuracy90.5 | 10 | |
| EMG-to-text retrieval | NinaPro-DB2 to NinaPro-DB3 cross-dataset | Recall48.26 | 9 | |
| EMG-to-text retrieval | NinaPro DB2 (NP-user split) | Recall67.08 | 9 | |
| EMG-to-text retrieval | NinaPro-DB2 NP-rand | Recall92.99 | 9 | |
| Electromyography Classification | NinaPro | 0-1 Error Rate6.6 | 8 | |
| Myoelectric Gesture Recognition | NinaPro DB7 (Across subjects) | Accuracy82.15 | 6 | |
| Myoelectric Gesture Recognition | NinaPro DB2 (Across subjects) | Accuracy77.86 | 5 | |
| Signal Classification | NinaPro NAS-Bench-360 | Runtime (GPU hours)0.2 | 4 | |
| EMG Classification | NinaPro DB5 (subject-independent) | Accuracy41.36 | 3 | |
| sEMG signal classification | NINAPRO DB4 | Accuracy94.7 | 2 |
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