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dc.contributor.authorYufridin, Wahab, Dr
dc.contributor.authorAimi Salihah, Abdul Nasir
dc.contributor.authorNorantanum, Abu Bakar
dc.contributor.authorBarzila Harliana, Bidin
dc.date.accessioned2013-12-13T08:42:31Z
dc.date.available2013-12-13T08:42:31Z
dc.date.issued2012-06-18
dc.identifier.citationp. 975 - 979en_US
dc.identifier.isbn978-967-5760-11-2
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/30512
dc.descriptionThe 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia.en_US
dc.description.abstractThis paper presents the application of Neural Network (NN) system for classification of human gait analysis. This NN will classify the human gait either normal or abnormal. This NN will use Multilayer Perceptron (MLP) neural network for the classification. There are total 3 main features that consist of heel strike, toe-off and Minimum Foot Clearance (MFC) based features had been extracted from normal and abnormal clearance versus time graphs and used as the neural network inputs for the classification process. The training algorithm namely Levenberg-Marquardt was employed to train the MLP network.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.relation.ispartofseriesProceedings of the The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012);
dc.subjectGait analysisen_US
dc.subjectGait assessmenten_US
dc.subjectNeural networken_US
dc.titleA review on development of neural network system for gait analysisen_US
dc.typeWorking Paperen_US
dc.contributor.urlyufridin@unimap.edu.myen_US
dc.contributor.urlaimi_salihah@yahoo.comen_US
dc.contributor.urlanum.nab@gmail.comen_US
dc.contributor.urlbazila.harliana@gmail.comen_US


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