Human Activity Recognition On Pamap2
Metrics
Accuracy
Macro F1
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Macro F1 | Paper Title | Repository |
|---|---|---|---|---|
| AFVF | 0.9672 | 0.9665 | Virtual Fusion with Contrastive Learning for Single Sensor-based Activity Recognition | - |
| Selective HAR Clustering | - | - | Efficient Deep Clustering of Human Activities and How to Improve Evaluation | |
| Unsupervised embedding learning for human activity recognition using wearable sensor data | - | - | - | - |
0 of 3 row(s) selected.