Research Article
Preimpact Fall Detection for Elderly Based on Fractional Domain
Table 12
The test result of the above model,
.
| 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 | 0.971 | 0.969 | 0.971 | 0.971 | 0.971 | 0.969 | 0.969 | 0.965 | 0.967 | MA | 0.971 | 0.969 | 0.971 | 0.971 | 0.971 | 0.969 | 0.969 | 0.965 | 0.967 | Range | 0.973 | 0.973 | 0.971 | 0.971 | 0.971 | 0.969 | 0.971 | 0.965 | 0.967 | Std. | 0.969 | 0.973 | 0.971 | 0.971 | 0.971 | 0.971 | 0.969 | 0.967 | 0.965 | Var. | 0.971 | 0.971 | 0.971 | 0.971 | 0.969 | 0.969 | 0.969 | 0.967 | 0.967 | RMS | 0.963 | 0.963 | 0.965 | 0.965 | 0.965 | 0.965 | 0.965 | 0.965 | 0.965 | IQR | 0.959 | 0.967 | 0.967 | 0.961 | 0.947 | 0.941 | 0.935 | 0.939 | 0.939 | Mean | 0.961 | 0.959 | 0.959 | 0.953 | 0.957 | 0.957 | 0.959 | 0.965 | 0.963 | PM | 0.959 | 0.959 | 0.955 | 0.943 | 0.937 | 0.943 | 0.951 | 0.945 | 0.953 | PN | 0.929 | 0.933 | 0.929 | 0.933 | 0.931 | 0.929 | 0.931 | 0.933 | 0.937 | Max | 0.931 | 0.931 | 0.933 | 0.931 | 0.931 | 0.931 | 0.931 | 0.933 | 0.268 | MA | 0.931 | 0.933 | 0.933 | 0.931 | 0.931 | 0.931 | 0.931 | 0.935 | 0.935 | Range | 0.933 | 0.933 | 0.931 | 0.931 | 0.929 | 0.931 | 0.931 | 0.931 | 0.953 | Std. | 0.929 | 0.931 | 0.931 | 0.931 | 0.931 | 0.931 | 0.931 | 0.006 | 0.0260 | Var. | 0.929 | 0.929 | 0.931 | 0.931 | 0.931 | 0.931 | 0.353 | 0.942 | 0.949 | RMS | 0.925 | 0.929 | 0.929 | 0.929 | 0.931 | 0.933 | 0.877 | 0.933 | 0.846 | IQR | 0.929 | 0.929 | 0.929 | 0.931 | 0.937 | 0.927 | 0.927 | 0.935 | 0.933 | Mean | 0.894 | 0.925 | 0.929 | 0.929 | 0.931 | 0.931 | 0.881 | 0.939 | 0.877 | PM | 0.931 | 0.929 | 0.929 | 0.927 | 0.931 | 0.933 | 0.933 | 0.933 | 0.933 | PN | 0.931 | 0.929 | 0.933 | 0.931 | 0.931 | 0.933 | 0.933 | 0.933 | 0.362 |
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