UCI-HAR
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Time-series Classification | UCI-HAR | Accuracy96.9 | 78 | |
| Human Activity Recognition | UCI-HAR | Accuracy96.84 | 31 | |
| Human Activity Recognition | UCI HAR | Inference latency (ms)0.21 | 16 | |
| Human Activity Recognition | UCI-HAR Subject-Hold-Out | Accuracy90 | 14 | |
| Human Activity Recognition | UCI-HAR 6-Classes (test) | Accuracy94.15 | 11 | |
| Human Activity Recognition | UCI-HAR Natural Distribution | Accuracy (%)71.28 | 9 | |
| Human Activity Recognition | UCI-HAR IID Setting | Accuracy78.1 | 9 | |
| Human Activity Recognition | UCI-HAR (test) | Accuracy96.33 | 9 | |
| Activity Recognition | UCI-HAR | Accuracy37.6 | 9 | |
| Unsupervised Clustering | UCI-HAR | NMI65 | 8 | |
| Human activity recognition | UCI-HAR (cross-domain) | Accuracy96.84 | 5 | |
| Human Activity Recognition | UCI-HAR alpha=1.0 (test) | Accuracy91.51 | 5 | |
| Human Activity Recognition | UCI-HAR alpha=0.5 (test) | Accuracy92.3 | 5 | |
| Human Activity Recognition | UCI-HAR alpha=0.2 (test) | Accuracy94.03 | 5 | |
| Continual Learning | UCI-HAR (30 subjects, 6 activities) (test) | FA94.1 | 5 | |
| Human Activity Recognition | UCI-HAR | Relative Degradation4.6 | 4 | |
| Human Activity Recognition | UCI HAR (5-fold cross-validation) | Accuracy98.5 | 4 | |
| Human Activity Recognition | UCI-HAR | Memory Footprint (KB)21.2 | 4 |
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