Widar
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Gesture Recognition | Widar3 Cross-Ori | Accuracy100 | 18 | |
| Human-Sensing Classification | WIDAR | F1 Score86.2 | 12 | |
| Federated Learning | WIDAR | Mean F1 Score86.2 | 12 | |
| Fairness-aware Classification | WIDAR Orientation (5-fold cross-validation) | EO Gap0.374 | 12 | |
| Classification | Widar Room 3 target (test) | Accuracy93.84 | 10 | |
| Classification | Widar Room 1 target (test) | Accuracy93.13 | 10 | |
| Classification | Widar Orientation 3 target (test) | Accuracy (%)90.68 | 5 | |
| Classification | Widar Orientation 2 target (test) | Accuracy84.03 | 5 | |
| Classification | Widar Orientation 1 target (test) | Accuracy77.56 | 5 | |
| Classification | Widar User 7 target (test) | Accuracy96.52 | 5 | |
| Classification | Widar User 3 target (test) | Accuracy88.06 | 5 | |
| Classification | Widar User 1 target (test) | Accuracy86.97 | 5 | |
| Classification | Widar Location 5 target (test) | Accuracy95.35 | 5 | |
| Classification | Widar Room 2 target (test) | Accuracy91.18 | 5 | |
| Gesture Classification | Widar UDA | Accuracy (Room)88.32 | 4 |
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