Abstract
Aiming at the problem of features extract method for fall detection, the method using time-frequency analyze and features extraction by Fractional Fourier Transform (FRFT) has been proposed. The inertial data is measured by 15 IMU wearing on body, the features extracted after FRFT with multiple order are analyzed and compared. The difference of feature distribution of eight fall actions has been compared, and the difference of feature distribution between fall action and 4 normal actions has been compared. The feasibility of using FRFT in fall detection is proved.
| Translated title of the contribution | Research on Extraction Method of Time-Frequency Feature of Fall Detection |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 2600-2605 |
| Number of pages | 6 |
| Journal | Xitong Fangzhen Xuebao / Journal of System Simulation |
| Volume | 31 |
| Issue number | 12 |
| DOIs | |
| Publication status | Published - 8 Dec 2019 |