Rahmah, Mokhtar and Nurshafiqa, Sharif and Nor Azan, Mat Zin and Siti Normaziah, Ihsan (2016) Assessing Attention and Meditation Levels in Learning Process using Brain Computer Interface. In: 2016 3rd International Conference on Computer, Communication and Control Technology (I4CT) , 19-21 April 2016 , Kota Kinabalu, Sabah. pp. 1-5.. (Unpublished)
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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.
| Item Type: | Conference or Workshop Item (Speech) |
|---|---|
| Uncontrolled Keywords: | BCI, attention, meditation |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 06 Apr 2017 06:36 |
| Last Modified: | 29 Mar 2018 04:13 |
| URI: | http://umpir.ump.edu.my/id/eprint/14039 |
| Download Statistic: | View Download Statistics |
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