Research on Extraction Method of Time-Frequency Feature of Fall Detection

doi:10.16182/j.issn1004731x.joss.19-FZ0311

Abstract

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.

Key words: fall detection, fractional Fourier transform, IMU, features extraction

CLC Number:

TP391.9A

Wang Tianrun, Su Zhong, Liu Ning, Li Chao, Fu Guodong. Research on Extraction Method of Time-Frequency Feature of Fall Detection[J]. Journal of System Simulation, 2019, 31(12): 2600-2605.

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