Research Article
Walking Gait Phase Detection Based on Acceleration Signals Using Voting-Weighted Integrated Neural Network
Table 1
Acceleration data for different parts at different speeds using PCA synthesized parameter table.
| | Pace | Collection location | z_1 | z_2 | z_3 |
| | 0.78 m/s | Calf | 0.632 | 0.671 | 0.421 | | Thigh | −0.652 | 0.569 | 0.355 | | Foot | 0.636 | 0.524 | 0.582 |
| | 1.0 m/s | Calf | 0.613 | 0.637 | 0.423 | | Thigh | −0.479 | 0.601 | 0.673 | | Foot | 0.667 | 0.625 | 0.533 |
| | 1.25 m/s | Calf | 0.629 | 0.638 | 0.427 | | Thigh | −0.565 | 0.623 | 0.641 | | Foot | 0.753 | 0.568 | 0.531 |
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