No Detail Found!

EEG-based BCI for attention assessment in E-learning environment using SVM

Author(s)
Muhammad Bilal Department of Computer Science, Bahria University, Karachi, Pakistan
Muhammad Marouf Department of Computer Science, Bahria University, Karachi, Pakistan
Safdar Rizvi Department of Computer Science, Bahria University, Karachi, Pakistan
Fatima Bashir Department of Computer Science, Bahria University, Karachi, Pakistan
Muhammad Shahzad Department of Computer Science, Bahria University, Karachi, Pakistan
Jawad Ahmed Bhutta Department of Computer Science, Bahria University, Karachi, Pakistan
Abstract
In this era, technology has paved the way to new dimensions of research in academia in terms of students' performance, learning outcomes, and capability. Brain-Computer Interface (BCI) has shown to be essential in monitoring students' brain activity through electroencephalogram (EEG) signals. Attention is a prerequisite to the evaluation of the studentlearningprocess.This paper proposed recognition of attention level inane-learning environment. It was divided into two states, attention, and inattention(distracted). EEG signals were extracted using the non-invasive device (Emotiv Insight) and processed data for noise removal through the Finite Impulse Response (FIR) filter. A machine learning approach has been used for the classification of data. The data acquired through the channels is continuous for which Support vector machines (SVM) have been used for classification. The selected features are then classified. The obtained accuracy for attention level is 90.07% in an e-learning environment.
Publication Details
Page(s) 75-90
DOI 10.51153/kjcis.v5il.107
Published Journal: KIET Journal of Computing & Information Sciences, Volume: 5, Issue: 1, Year: 2022

Request the full text from PASTIC

Keywords
attention, Electroencephalogram, Machine, Brain-Computer Interface
More from KIET Journal of Computing & Information Sciences
0

Citations

0

Downloads

50

Views

Copyright ©  PASTIC National Center, Islamabad www.pastic.gov.pk