Comparative analysis between SVM & KNN classifier for EMG signal classification on elementary time domain features

Abstract

The extraction of the feature is a significant method to extract the useful information which is hidden in the signal acquired form the types of different. These signals may be speech, EEG, EMG, ECG, EOG etc. Here, within this paper, we carry on further with EMG signal to discuss the comparative analysis in between linear SVM and KNN classifier using time domain features. For the purpose of successful classification of EMG signal, careful selection of feature is required. Within this paper, seven elementary time domain features are realized as they are frequently used for the same.