Performance Analysis of SVM, k-NN and BPNN Classifiers for Motor Imagery
Journal Title: INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY - Year 2014, Vol 10, Issue 1
Abstract
This paper presents the results obtained by the experiments carried out in the project which aims to classify EEG signal for motor imagery into right hand movement and left hand movement in Brain Computer Interface (BCI) applications. In this project the feature extraction of the EEG signal has been carried out using Discrete Wavelet Transform (DWT). The wavelet coefficients as features has been classified using Support Vector Machine (SVM), k-Nearest Neighbor (k-NN) and Backpropagation Neural Network (BPNN). The maximum classification accuracy obtained using SVM is 78.57%, using k-NN is 72% and using BPNN is 80%.
Authors and Affiliations
Indu Dokare , Naveeta Kant
Keywords
Related Articles
- EP ID EP105040
- DOI -
- Views 168
- Downloads 0
Face Recognition using LBP Coefficient Vectors with SVM Classifier
The development of automatic visual control system is a very important research topic in computer vision. In many application including texture based, face recognition system, in this paper we analysis for the face recog...
Methods to Reduce Aggregate Technical and Commercial (At&C) Losses
In the Power Sector, Distribution system plays an vital role where, The gap between the average revenue Realization and the average cost of the supply has been constantly increasing since a decade. power is critica...
MHD Free Convective Heat and Mass transfer of fluid flow past a moving variable surface in porous media
This paper is focused to developed a mathematical model and comparative study of combined effects of free convective heat and mass transfer on the steady two-dimensional, laminar fluid flow past a moving permeable...
License Plate Localization: A Review
Automated License Plate Recognition (ALPR) has turned out to be an important research issue in recent years, which is a famous Intelligent Transport System. License Plate Localization is the core module of License Plate...
Analysis of Skin Cancer Using Fuzzy and Wavelet Technique – Review & Proposed New Algorithm
This paper first reviews the past and present technologies for skin cancer detections along with their relevant tools. Then it goes on discussing briefly about features, advantages or drawbacks of each of them. The...