Assessing Attention and Meditation Levels in Learning Process using Brain Computer Interface
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 interf...
Saved in:
Main Authors: | Rahmah, Mokhtar, Nurshafiqa, Sharif, Nor Azan, Mat Zin, Siti Normaziah, Ihsan |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2016
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/14039/7/fskkp-2016-rahmah-Assessing%20Attention%20and%20Meditation%20Levels.pdf http://umpir.ump.edu.my/id/eprint/14039/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Capturing Data of Children’ Concentration and Meditation Levels : How Learners’ Effort Influence the Academic Emotional Response Level
by: Nurshafiqa, Sharif, et al.
Published: (2015) -
Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool
by: Nurshafiqa Saffah, Mohd Sharif
Published: (2018) -
Effect of mindfulness meditation on brain-computer interface performance
by: Tan, Lee Fan
Published: (2014) -
Mindfulness Meditation Improves Brain-Computer Interface (Bci) Performance
by: Tan, Yin Qing
Published: (2015) -
Brain Computer Interface: Assessment of Spinal Cord Injury Patient towards Motor Movement through EEG application
by: Badlishah, Ahmad, et al.
Published: (2017)