Table 9.
Performance of models using standardized view in the cross-dataset scenario, using leave-one-dataset-out strategy.
| Model | Time | Frequency | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| KH | MS | RW-T | RW-W | UCI | WDM | Mean | KH | MS | RW-T | RW-W | UCI | WDM | Mean | |
| KNN | 58.3% | 49.8% | 38.1% | 36.6% | 34.6% | 43.4% | 43.5% | 61.1% | 81.4% | 66.4% | 58.8% | 59.6% | 72.2% | 66.6% |
| Random Forest | 54.3% | 60.3% | 47.6% | 42.6% | 65.8% | 59.0% | 54.9% | 62.8% | 82.8% | 67.0% | 69.6% | 79.5% | 71.4% | 72.2% |
| SVM | 52.1% | 62.4% | 49.5% | 49.9% | 66.5% | 55.7% | 56.0% | 52.8% | 80.6% | 72.4% | 68.3% | 67.7% | 69.6% | 68.6% |
| CNN (1D)12 | 63.3% | 79.0% | 71.7% | 68.0% | 81.1% | 70.3% | 72.2% | 66.2% | 84.6% | 71.4% | 69.7% | 77.2% | 73.9% | 73.9% |
| CNN (2D)12 | 61.4% | 70.2% | 61.9% | 67.8% | 70.7% | 60.3% | 65.4% | 66.1% | 83.6% | 73.9% | 69.9% | 75.9% | 73.3% | 73.8% |
| CNN PF34 | 61.9% | 67.2% | 65.0% | 66.1% | 73.0% | 54.9% | 64.7% | 71.9% | 82.8% | 70.5% | 70.6% | 78.3% | 74.1% | 74.7% |
| CNN PFF34 | 63.2% | 66.3% | 64.8% | 67.5% | 74.4% | 56.0% | 65.4% | 70.3% | 84.3% | 69.5% | 70.4% | 77.6% | 74.1% | 74.4% |
| ConvNet13 | 63.9% | 65.6% | 47.3% | 61.2% | 70.1% | 53.9% | 60.3% | 69.7% | 85.6% | 75.0% | 71.3% | 81.8% | 79.1% | 77.1% |
| IMU CNN14 | 54.2% | 62.5% | 42.9% | 48.7% | 64.8% | 59.4% | 55.4% | 70.4% | 85.6% | 68.5% | 71.3% | 78.8% | 74.7% | 74.9% |
| IMU Transf.14 | 63.1% | 58.5% | 35.7% | 57.5% | 62.6% | 59.8% | 56.2% | 67.5% | 84.0% | 67.7% | 68.1% | 76.4% | 73.8% | 72.9% |
| MLP (2 Layers) | 55.7% | 71.8% | 54.9% | 55.1% | 68.7% | 60.9% | 61.2% | 74.2% | 83.9% | 70.5% | 65.0% | 74.6% | 73.2% | 73.5% |
| MLP (3 layers) | 53.3% | 73.6% | 54.2% | 56.3% | 67.3% | 59.7% | 60.8% | 77.9% | 85.4% | 73.5% | 67.2% | 75.5% | 75.2% | 75.8% |
| ResNet15 | 58.5% | 68.0% | 41.1% | 66.9% | 76.8% | 57.4% | 61.4% | 62.9% | 79.8% | 66.8% | 65.5% | 74.1% | 69.1% | 69.7% |
| ResNetSE67 | 60.4% | 68.8% | 47.1% | 68.1% | 73.3% | 54.2% | 62.0% | 58.2% | 77.5% | 68.4% | 66.9% | 74.7% | 67.1% | 68.8% |
| ResNetSE-567 | 49.0% | 67.0% | 49.6% | 66.2% | 72.7% | 51.7% | 59.4% | 65.4% | 81.1% | 67.5% | 66.3% | 75.0% | 70.6% | 71.0% |
| Max | 63.9% | 79.0% | 71.7% | 68.1% | 81.1% | 70.3% | 72.2% | 77.9% | 85.6% | 75.0% | 71.3% | 81.8% | 79.1% | 77.1% |
The best results for each dataset and for each domain (time and frequency) are highlighted in bold. Mean column represents the average performance of the model in the datasets.