relation: https://khub.utp.edu.my/scholars/13210/
title: Decoding Brain Patterns for Colored and Grayscale Images using Multivariate Pattern Analysis
creator: Zafar, R.
creator: Malik, M.N.
creator: Hayat, H.
creator: Malik, A.S.
description: Taxonomy of human brain activity is a complicated rather challenging procedure. Due to its multifaceted aspects, including experiment design, stimuli selection and presentation of images other than feature extraction and selection techniques, foster its challenging nature. Although, researchers have focused various methods to create taxonomy of human brain activity, however use of multivariate pattern analysis (MVPA) for image recognition to catalog the human brain activities is scarce. Moreover, experiment design is a complex procedure and selection of image type, color and order is challenging too. Thus, this research bridge the gap by using MVPA to create taxonomy of human brain activity for different categories of images, both colored and gray scale. In this regard, experiment is conducted through EEG testing technique, with feature extraction, selection and classification approaches to collect data from prequalified criteria of 25 graduates of University Technology PETRONAS (UTP). These participants are shown both colored and gray scale images to record accuracy and reaction time. The results showed that colored images produces better end result in terms ofₐccuracy and response time using wavelet transform, t-test and support vector machine. This research resulted that MVPA is a better approach for the analysis of EEG data as more useful information can be extracted from the brain using colored images. This research discusses a detail behavior of human brain based on the color and gray scale images for the specific and unique task. This research contributes to further improve the decoding of human brain with increased accuracy. Besides, such experiment settings can be implemented and contribute to other areas of medical, military, business, lie detection and many others. Copyright © 2020 KSII.
publisher: Korean Society for Internet Information
date: 2020
type: Article
type: PeerReviewed
identifier:   Zafar, R. and Malik, M.N. and Hayat, H. and Malik, A.S.  (2020) Decoding Brain Patterns for Colored and Grayscale Images using Multivariate Pattern Analysis.  KSII Transactions on Internet and Information Systems, 14 (4).  pp. 1543-1561.  ISSN 19767277     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085915470&doi=10.3837%2fTIIS.2020.04.008&partnerID=40&md5=59dfc35126f4eae359c8e484baa76a70
relation: 10.3837/TIIS.2020.04.008
identifier: 10.3837/TIIS.2020.04.008