Research Article
Preimpact Fall Detection for Elderly Based on Fractional Domain
Table 11
of the trained SVM model composed of the angular velocity var. and other features.
| Feature | 0.1 order | 0.2 order | 0.3 order | 0.4 order | 0.5 order | 0.6 order | 0.7 order | 0.8 order | 0.9 order |
| Max | 0.977 | 0.974 | 0.974 | 0.974 | 0.971 | 0.971 | 0.971 | 0.969 | 0.971 | MA | 0.977 | 0.974 | 0.974 | 0.974 | 0.971 | 0.971 | 0.971 | 0.969 | 0.971 | Range | 0.977 | 0.977 | 0.974 | 0.974 | 0.971 | 0.971 | 0.971 | 0.969 | 0.971 | Std. | 0.977 | 0.977 | 0.974 | 0.974 | 0.974 | 0.971 | 0.971 | 0.969 | 0.971 | Var. | 0.974 | 0.974 | 0.974 | 0.974 | 0.971 | 0.971 | 0.969 | 0.969 | 0.969 | RMS | 0.971 | 0.971 | 0.971 | 0.971 | 0.969 | 0.969 | 0.969 | 0.969 | 0.969 | IQR | 0.971 | 0.971 | 0.971 | 0.971 | 0.969 | 0.966 | 0.964 | 0.964 | 0.964 | Mean | 0.969 | 0.971 | 0.969 | 0.969 | 0.969 | 0.969 | 0.969 | 0.969 | 0.969 | PM | 0.971 | 0.969 | 0.966 | 0.969 | 0.969 | 0.969 | 0.966 | 0.966 | 0.966 | PN | 0.961 | 0.958 | 0.953 | 0.953 | 0.953 | 0.948 | 0.948 | 0.945 | 0.945 | Max | 0.966 | 0.961 | 0.961 | 0.958 | 0.953 | 0.948 | 0.951 | 0.943 | 0.721 | MA | 0.966 | 0.964 | 0.961 | 0.958 | 0.953 | 0.948 | 0.953 | 0.943 | 0.938 | Range | 0.966 | 0.964 | 0.961 | 0.956 | 0.953 | 0.948 | 0.953 | 0.945 | 0.922 | Std. | 0.961 | 0.961 | 0.953 | 0.953 | 0.953 | 0.953 | 0.948 | 0 | 0 | Var. | 0.958 | 0.958 | 0.953 | 0.953 | 0.953 | 0.948 | 0.864 | 0.909 | 0.919 | RMS | 0.969 | 0.961 | 0.956 | 0.953 | 0.951 | 0.948 | 0.953 | 0.969 | 0.953 | IQR | 0.964 | 0.961 | 0.961 | 0.958 | 0.953 | 0.953 | 0.948 | 0.945 | 0.945 | Mean | 0.977 | 0.964 | 0.958 | 0.953 | 0.951 | 0.953 | 0.956 | 0.961 | 0.958 | PM | 0.961 | 0.961 | 0.958 | 0.953 | 0.951 | 0.948 | 0.948 | 0.945 | 0.945 | PN | 0.958 | 0.956 | 0.953 | 0.961 | 0.948 | 0.948 | 0.945 | 0.945 | 0.280 |
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