Abstract | ||
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The plantar pressure of identity recognition in pattern recognition field has a certain application. Only each of the plantar pressure is stable, personalized, plantar pressure identification is scientific, but the stability problem of the plantar pressure has not been verified. In the public security practice footprints can be were personal identification, but there is no underlying scientific principles as the theoretical support. To process the collected data by computer programming, so as to prove the data of plantar pressure of normal person is basically stable. Use MATLAB software to conduct the dynamic plantar pressure's peak data table that acquired by FOOTSCAN plantar pressure measurement and analysis system, and use statistical correlation algorithm to deal with, so as to analysis the stability of plantar pressure quantitatively. Each one's feature point variance of plantar pressure is basically stable. The stability of plantar pressure data is better in normal human walking condition, so it can be used to study and apply by the plantar pressure data. |
Year | DOI | Venue |
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2016 | 10.1007/978-981-10-3002-4_20 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Plantar pressure,Peak value,Stability | Peak value,Plantar pressure,MATLAB,Pattern recognition,Computer science,Software,Artificial intelligence,Statistical correlation,Public security,Identity recognition,Computer programming | Conference |
Volume | ISSN | Citations |
662 | 1865-0929 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Han Ding | 1 | 499 | 78.16 |
Yunqi Tang | 2 | 8 | 2.80 |
Wei Guo | 3 | 442 | 146.38 |