Journal of System Simulation
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.
Recommended Citation
Wang, Tianrun; Zhong, Su; Ning, Liu; Chao, Li; and Fu, Guodong
(2019)
"Research on Extraction Method of Time-Frequency Feature of Fall Detection,"
Journal of System Simulation: Vol. 31:
Iss.
12, Article 5.
DOI: 10.16182/j.issn1004731x.joss.19-FZ0311
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol31/iss12/5
First Page
2600
Revised Date
2019-07-12
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.19-FZ0311
Last Page
2605
CLC
TP391.9A
Recommended Citation
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.
DOI
10.16182/j.issn1004731x.joss.19-FZ0311
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