Table 4.
Computational time for a single window.
| Classifier | Features | Data Acquisition (ms) |
Feature Extraction (ms) |
Classification (ms) |
|---|---|---|---|---|
| Naïve Bayes | MultiPhase | 0.145 (0.07) | 0.104 (0.05) | 0.695 (0.15) |
| Logistic Regression | MultiPhase | 0.145 (0.07) | 0.104 (0.05) | 0.03 (0.01) |
| KNN | MultiPhase | 0.145 (0.07) | 0.104 (0.05) | 1.265 (0.23) |
| Support Vector Machines | MultiPhase | 0.145 (0.07) | 0.104 (0.05) | 0.452 (0.14) |
| Random Forests | MultiPhase | 0.145 (0.07) | 0.104 (0.05) | 17.63 (5.1) |
| Naïve Bayes | Conventional | 0.007 (0.01) | 0.049 (0.05) | 0.686 (0.44) |
| Logistic Regression | Conventional | 0.007 (0.01) | 0.049 (0.05) | 0.065 (0.05) |
| KNN | Conventional | 0.007 (0.01) | 0.049 (0.05) | 1.176 (0.28) |
| Support Vector Machines | Conventional | 0.007 (0.01) | 0.049 (0.05) | 0.368 (0.26) |
| Random Forests | Conventional | 0.007 (0.01) | 0.049 (0.05) | 16.166 (31.06) |
| Threshold-based | Kangas et al. | 0.008 (0.03) | 0.54 (0.15) | 0.002 (0.02) |