Research Article
Walking Gait Phase Detection Based on Acceleration Signals Using Voting-Weighted Integrated Neural Network
Table 5
Summary of classification performance of VWI-DNN at unsynchronized speed.
| | Pace | 0.78 m/s | 1.0 m/s | 1.25 m/s | | Phase | HS | FF | HO | SW | HS | FF | HO | SW | HS | FF | HO | SW |
| | Precision (%) | 100.0 | 99.4 | 98.8 | 100.0 | 100.0 | 99.4 | 99.5 | 100.0 | 99.7 | 99.7 | 100.0 | 100.0 | | Recall (%) | 99.5 | 99.1 | 99.7 | 100.0 | 100.0 | 99.4 | 99.5 | 100.0 | 100.0 | 99.7 | 99.7 | 100.0 | | F1 (%) | 99.7 | 99.3 | 99.3 | 100.0 | 100.0 | 99.4 | 99.5 | 100.0 | 99.9 | 99.7 | 99.8 | 100.0 |
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