Table 2.
Classification results with the best combination of features based on original pressure mats.
| Class | RF | NB | SVM | MLP | k-NN |
|---|---|---|---|---|---|
| TP0 | 0.98 | 0.96 | 0.89 | 0.90 | 0.96 |
| TP1 | 0.94 | 0.87 | 0.75 | 0.77 | 0.82 |
| TP2 | 0.91 | 0.77 | 0.84 | 0.82 | 0.84 |
| TP3 | 0.86 | 0.60 | 0.42 | 0.51 | 0.77 |
| TP4 | 0.85 | 0.61 | 0.51 | 0.70 | 0.64 |
| LFP0 | 0.97 | 0.94 | 0.86 | 0.91 | 0.95 |
| LFP1 | 0.90 | 0.88 | 0.84 | 0.86 | 0.80 |
| RFP0 | 0.92 | 0.85 | 0.82 | 0.83 | 0.84 |
| RFP1 | 0.70 | 0.62 | 0.57 | 0.59 | 0.65 |
| RFP2 | 0.61 | 0.53 | 0.50 | 0.53 | 0.57 |
| Average | 0.86 | 0.76 | 0.70 | 0.74 | 0.78 |
| Time * (ms) | 45 | 33 | 138 | 0.25 | 28 |
* Total prediction time for the three body parts for each frame.