dc.contributor.author |
AlHassan, Hussain |
|
dc.contributor.author |
Gupta, Navarun |
|
dc.date.accessioned |
2015-06-23T18:38:55Z |
|
dc.date.available |
2015-06-23T18:38:55Z |
|
dc.date.issued |
2015-04-30 |
|
dc.identifier.uri |
https://scholarworks.bridgeport.edu/xmlui/handle/123456789/1232 |
|
dc.description |
© ASEE 2015 |
|
dc.description.abstract |
Improving performance is one of the hot topics in every industry. Researchers are working on many perspectives to achieve ideal results to improve performance. Some of them study external factors while others focus on internal factors regarding performance. They consider it an essential base to affect subject productivity. However, relaxation, calming down, and confidence play major roles in refining the efficiency of people’s productivity. This paper concentrates on the internal factors of individuals observing their performance during activity. It then analyzes brain signals during meditation and solving math problems by observing signals from the cerebral cortex of the participant using electroencephalography (EEG). Mastering the subconscious leads to improving subject productivity and performance. A person can change their habits and better themselves without using chemicals or drugs, and everything depends on a self-anchor. Meditation gives direct access to hidden power and forces the mind to act differently to gain strength reducing pain and stress and can be a self-anchor. |
en_US |
dc.language.iso |
en_US |
en_US |
dc.publisher |
ASEE |
en_US |
dc.subject |
Electroencephalography (EEG) |
en_US |
dc.subject |
Meditation |
en_US |
dc.subject |
Stress |
en_US |
dc.subject |
Relaxation |
en_US |
dc.subject |
Internal factors |
en_US |
dc.title |
Brain Signals Analysis during Meditation and Problem Solving |
en_US |
dc.type |
Article |
en_US |
dc.event.location |
Boston, MA |
en_US |
dc.event.name |
2015 Northeast Section Conference of the American Society for Engineering Education (ASEE) |
en_US |