Research Article
Walking Gait Phase Detection Based on Acceleration Signals Using Voting-Weighted Integrated Neural Network
Table 6
Summary of classification performance for different training functions.
| Pace | Training function | Classification rate | Accuracy (%) | Macro-F1 (%) | AUC |
| 0.78 m/s | Bagging | 76.9 | 70.7 | 0.98 | AdaBoosting | 95.7 | 95.7 | 1.0 | VWI-DNN | 99.6 | 99.5 | 1.0 |
| 1.0 m/s | Bagging | 74.4 | 66.1 | 0.95 | AdaBoosting | 92.4 | 91.9 | 1.0 | VWI-DNN | 98.9 | 99.7 | 1.0 |
| 1.25 m/s | Bagging | 74.4 | 66.3 | 0.98 | AdaBoosting | 93.5 | 93.6 | 1.0 | VWI-DNN | 99.1 | 99.7 | 1.0 |
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