Research Article
Preimpact Fall Detection for Elderly Based on Fractional Domain
Table 13
The product of training result
and testing result
.
| 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 | 0.949 | 0.944 | 0.946 | 0.946 | 0.944 | 0.942 | 0.942 | 0.935 | 0.940 | MA | 0.949 | 0.944 | 0.946 | 0.946 | 0.944 | 0.942 | 0.942 | 0.935 | 0.940 | Range | 0.951 | 0.951 | 0.946 | 0.946 | 0.944 | 0.942 | 0.943 | 0.935 | 0.940 | Std. | 0.947 | 0.951 | 0.946 | 0.946 | 0.946 | 0.944 | 0.942 | 0.937 | 0.938 | Var. | 0.946 | 0.946 | 0.946 | 0.946 | 0.942 | 0.942 | 0.939 | 0.937 | 0.937 | RMS | 0.936 | 0.936 | 0.938 | 0.938 | 0.935 | 0.935 | 0.935 | 0.935 | 0.935 | IQR | 0.932 | 0.940 | 0.940 | 0.934 | 0.918 | 0.909 | 0.901 | 0.905 | 0.905 | Mean | 0.931 | 0.932 | 0.929 | 0.923 | 0.927 | 0.927 | 0.929 | 0.935 | 0.933 | PM | 0.932 | 0.929 | 0.923 | 0.914 | 0.908 | 0.914 | 0.919 | 0.913 | 0.921 | PN | 0.893 | 0.894 | 0.886 | 0.889 | 0.888 | 0.881 | 0.883 | 0.882 | 0.886 | Max | 0.900 | 0.895 | 0.897 | 0.892 | 0.888 | 0.883 | 0.885 | 0.880 | 0.194 | Std. | 0.893 | 0.895 | 0.888 | 0.888 | 0.888 | 0.888 | 0.883 | 0 | 0 | Var. | 0.890 | 0.890 | 0.888 | 0.888 | 0.888 | 0.883 | 0.305 | 0.856 | 0.872 | RMS | 0.896 | 0.893 | 0.888 | 0.886 | 0.885 | 0.885 | 0.836 | 0.904 | 0.806 | IQR | 0.895 | 0.893 | 0.893 | 0.892 | 0.893 | 0.884 | 0.879 | 0.884 | 0.882 | Mean | 0.874 | 0.891 | 0.890 | 0.886 | 0.885 | 0.888 | 0.842 | 0.903 | 0.841 | PM | 0.895 | 0.893 | 0.890 | 0.884 | 0.885 | 0.885 | 0.885 | 0.882 | 0.882 | PN | 0.892 | 0.888 | 0.889 | 0.895 | 0.883 | 0.885 | 0.882 | 0.882 | 0.101 | Max | 0.949 | 0.944 | 0.946 | 0.946 | 0.944 | 0.942 | 0.942 | 0.935 | 0.940 | MA | 0.949 | 0.944 | 0.946 | 0.946 | 0.944 | 0.942 | 0.942 | 0.935 | 0.940 |
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