Analyzing novice programmers' EEG signals using unsupervised algorithms
Ten (10) first year college programming students participated in the study and reported their emotions during the learning session. Emotiv EPOC headset was used to gather EEG brainwave signals. Digital signal processing filtering technique was used to filter the data. The reported academic emotions...
Saved in:
Main Authors: | Swansi, Vanlalhruaii, Herradura, Tita, Suarez, Merlin Teodosia |
---|---|
Format: | text |
Published: |
Animo Repository
2017
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/1278 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Similar Items
-
Measuring academic affective states of students via brainwave signals
by: Mampusti, Ella T., et al.
Published: (2011) -
Selective prediction of student emotions based on unusually strong EEG signals
by: Azcarraga, Judith Jumig, et al.
Published: (2015) -
Prospects in modeling reader's affect based on EEG signals
by: Kalaw, Kristine, et al.
Published: (2017) -
Recognizing student emotions using brainwaves and mouse behavior data
by: Azcarraga, Judith Jumig, et al.
Published: (2013) -
Predicting academic emotion based on brainwaves signals and mouse click behavior
by: Azcarraga, Judith, et al.
Published: (2011)