Assessing attention and meditation levels in learning process using brain computer interface

Rahmah Mokhtar, Nurshafiqa Sharif, Nor Azan Mat Zin, Siti Normaziah Ihsan

Research output: Contribution to journalArticle

Abstract

Attention and meditation influence the students while receiving knowledge in teaching and learning process. This research focuses on recognition of human brainwave electroencephalogram (EEG) signals, to detect the changes of attention and meditation level signal. A non-invasive brain-computer interfaces (BCI) is used to record the brain signals. These signals are acquired directly using an Android software (EEG Analyzer) and transmitted to a computer for further data processing and analysis. The objectives of this paper are to measure and identify brainwave patterns related to respondent’s attention and meditation level while perceive learning. The experiment has been done to eight primary school student aged seven to twelve years old. The result shows that the EEG can be measured and the pattern of EEG can be identified attention and meditation changes in students learning acceptance.

Original languageEnglish
Pages (from-to)5569-5572
Number of pages4
JournalAdvanced Science Letters
Volume23
Issue number6
DOIs
Publication statusPublished - 2017

Fingerprint

Brain-Computer Interfaces
Meditation
Brain computer interface
meditation
Electroencephalography
Learning Process
brain
learning process
learning
Brain Waves
Learning
student
Students
Student Learning
research focus
Automatic Data Processing
teaching
primary school
Brain
Data analysis

Keywords

  • Attention
  • Brain computer interface
  • Brainwave pattern
  • Electroencephalogram
  • Meditation

ASJC Scopus subject areas

  • Health(social science)
  • Computer Science(all)
  • Education
  • Mathematics(all)
  • Environmental Science(all)
  • Engineering(all)
  • Energy(all)

Cite this

Assessing attention and meditation levels in learning process using brain computer interface. / Mokhtar, Rahmah; Sharif, Nurshafiqa; Mat Zin, Nor Azan; Ihsan, Siti Normaziah.

In: Advanced Science Letters, Vol. 23, No. 6, 2017, p. 5569-5572.

Research output: Contribution to journalArticle

Mokhtar, Rahmah ; Sharif, Nurshafiqa ; Mat Zin, Nor Azan ; Ihsan, Siti Normaziah. / Assessing attention and meditation levels in learning process using brain computer interface. In: Advanced Science Letters. 2017 ; Vol. 23, No. 6. pp. 5569-5572.
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