Anomalous gait detection based on Support Vector Machine

Support Vector Machine is amongst the popular machine classifier due to its rigorous theory background and remarkable generalization performance. Hence, in this paper, the performance of SVM is evaluated to classify gait abnormalities due to Parkinson disease based on three kernels namely radial basis function, polynomial as well as linear. In addition, two types of normalization is applied to these gait data namely intra group norm and inter...