Table 8 Ratio of model performance between the baseline view and the standardized view.
From: A benchmark for domain adaptation and generalization in smartphone-based human activity recognition
Model | Time | Frequency | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
KH | MS | RW-T | RW-W | UCI | WDM | Mean | KH | MS | RW-T | RW-W | UCI | WDM | Mean | |
KNN | 1.16x | 0.82x | 1.41x | 1.16x | 1.22x | 1.01x | 1.08x | 1.00x | 1.02x | 0.89x | 1.08x | 1.00x | 0.96x | 0.99x |
Random Forest | 1.00x | 1.01x | 0.84x | 0.87x | 1.03x | 0.93x | 0.95x | 1.04x | 1.02x | 0.96x | 0.98x | 1.01x | 0.92x | 0.99x |
SVM | 1.06x | 1.00x | 0.80x | 0.95x | 0.92x | 0.81x | 0.91x | 1.02x | 0.97x | 0.87x | 0.92x | 0.92x | 0.80x | 0.91x |
CNN (1D)12 | 1.01x | 0.99x | 0.86x | 1.01x | 1.00x | 0.95x | 0.97x | 0.98x | 1.00x | 0.91x | 0.98x | 1.00x | 0.94x | 0.97x |
CNN (2D)12 | 1.06x | 1.01x | 1.04x | 0.98x | 0.98x | 0.96x | 1.00x | 0.97x | 1.00x | 0.94x | 1.03x | 1.02x | 0.94x | 0.98x |
CNN PF34 | 1.00x | 1.02x | 0.99x | 1.07x | 1.01x | 0.97x | 1.01x | 0.98x | 0.99x | 0.85x | 1.01x | 1.03x | 0.94x | 0.97x |
CNN PFF34 | 1.01x | 1.01x | 0.92x | 1.11x | 1.01x | 0.98x | 1.00x | 0.92x | 1.02x | 0.82x | 1.00x | 1.03x | 0.94x | 0.96x |
ConvNet13 | 1.05x | 1.02x | 0.93x | 1.05x | 1.06x | 0.96x | 1.01x | 0.93x | 1.01x | 0.94x | 1.03x | 0.99x | 0.94x | 0.97x |
IMU CNN14 | 1.04x | 1.00x | 1.00x | 1.08x | 1.03x | 0.99x | 1.02x | 0.96x | 1.02x | 0.86x | 1.03x | 1.01x | 0.95x | 0.97x |
IMU Transf.14 | 0.98x | 0.91x | 0.86x | 0.99x | 0.68x | 0.51x | 0.81x | 0.98x | 1.06x | 0.81x | 1.01x | 1.00x | 0.60x | 0.90x |
MLP (2 Layers) | 1.01x | 1.01x | 0.74x | 0.99x | 1.00x | 0.89x | 0.94x | 1.00x | 0.98x | 0.90x | 1.04x | 1.00x | 0.92x | 0.97x |
MLP (3 layers) | 1.01x | 1.02x | 0.75x | 0.99x | 1.01x | 0.92x | 0.95x | 1.00x | 1.01x | 0.92x | 1.04x | 1.00x | 0.92x | 0.98x |
ResNet15 | 1.02x | 0.92x | 0.91x | 0.97x | 0.93x | 0.87x | 0.93x | 1.02x | 1.00x | 0.83x | 1.13x | 0.98x | 0.91x | 0.97x |
ResNetSE67 | 1.03x | 0.91x | 0.97x | 0.98x | 0.93x | 0.83x | 0.94x | 0.88x | 1.02x | 0.87x | 0.98x | 0.92x | 0.90x | 0.93x |
ResNetSE-567 | 1.05x | 0.95x | 1.06x | 0.92x | 0.97x | 0.91x | 0.97x | 0.94x | 0.98x | 0.87x | 1.00x | 0.99x | 0.86x | 0.94x |
Max (Ratio) | 1.03x | 1.02x | 0.91x | 1.04x | 0.99x | 0.95x | 0.98x | 0.99x | 1.01x | 0.94x | 1.01x | 1.01x | 0.93x | 0.97x |