SVM MODELS FOR DIAGNOSING BALANCE PROBLEMS USING STATISTICAL FEATURES OF THE MTC SIGNAL

DOI10.1142/S1469026808002314zbMath1178.68426OpenAlexW2086099262MaRDI QIDQ3636491

Marimuthu Palaniswami, Rezaul Begg, Daniel T. H. Lai

Publication date: 30 June 2009

Published in: International Journal of Computational Intelligence and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s1469026808002314

zbMATH Keywords

support vector machineshuman walkinggait analysisreceiver operating characteristicsstatistical featuresminimum toe clearance signaltrip falls

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

APPLICATION OF GENETIC ALGORITHM-SUPPORT VECTOR MACHINE (GA-SVM) FOR DAMAGE IDENTIFICATION OF BRIDGE

Cites Work

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