Accuracy on UCI-HAR
96.8AccuracyProposed Method
Evaluation results
| Method | Links | |
|---|---|---|
| Proposed MethodIT(s)=2.562025.02 | 96.8 | |
| Deep CNN-LSTM with attentionIT(s)=40.92025.02 | 94 | |
| MarNASNet – Mobile aware CNN Sensor-basedIT(s)=2.562025.02 | 92 | |
| CNNIT(s)=2.82025.02 | 90 | |
| CNN-LSTM (Series)IT(s)=2.82025.02 | 90 | |
| CNN-LSTM (Paraller)IT(s)=2.82025.02 | 90 | |
| LSTMIT(s)=102025.02 | 89 |