HAR
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Local prediction | HAR (20% train) | Local Prediction Error1.9 | 102 | |
| Local Prediction | HAR 60% (train) | Local Prediction Error0.8 | 102 | |
| Local prediction error | HAR 50% (train) | Error Rate1 | 102 | |
| Byzantine-Robust Federated Learning | HAR | Test Error Rate4.4 | 80 | |
| Classification | HAR (test) | Accuracy99.07 | 64 | |
| Classification | HAR | Accuracy0.9577 | 46 | |
| Time Series Classification | HAR | Accuracy98.83 | 39 | |
| Online Class-Incremental Learning | HAR | Final Mean Accuracy81.5 | 26 | |
| Human Activity Recognition | HAR Real-world Setting (test) | Accuracy79.72 | 19 | |
| Classification | HAR 5% labels | Accuracy93.14 | 19 | |
| Classification | HAR (1% labels) | Accuracy84.16 | 19 | |
| Human Activity Recognition | HAR (30% train) | Prediction Error (eps=0.00)0.014 | 17 | |
| Local prediction | HAR 40% train data (test) | Prediction Error (ε=0.00)0.012 | 17 | |
| Multivariate Time Series Classification | HAR | Accuracy96.71 | 15 | |
| Human Activity Recognition | HAR Average Across 8 Datasets | Accuracy81.6 | 14 | |
| Classification | HAR | Accuracy92.98 | 13 | |
| Multivariate imputation | HAR L=128 (test) | MSE0.379 | 12 | |
| Human Activity Recognition | HAR dataset (ALL) | Accuracy95.77 | 12 | |
| Human Activity Recognition | HAR dataset patient08 | Accuracy97.09 | 12 | |
| Human Activity Recognition | HAR dataset patient06 | Accuracy97.48 | 12 | |
| Human Activity Recognition | HAR dataset patient05 | Accuracy97.7 | 12 | |
| Human Activity Recognition | HAR dataset patient04 | Accuracy93.77 | 12 | |
| Human Activity Recognition | HAR patient03 | Accuracy97.31 | 12 | |
| Human Activity Recognition | HAR dataset patient02 | Accuracy95.25 | 12 | |
| Human Activity Recognition | HAR | Time per Sweep (s)7.53 | 12 |
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