Evaluating bad and good EEG segments based on extracted features: towards an automated understanding of infant behavior and attention
The field of brain computer interference has grown rapidly with the purpose of reading a human’s mind, generating a certain output, controlling objects with this output and having an automated understanding of human reactions and responses to the surrounding environment. Electroencephal...
Saved in:
Main Authors: | Sharif, Mhd Saeed, Alsibai, Mohammed Hayyan, Kushnerenko, Elena |
---|---|
Format: | Conference or Workshop Item |
Language: | English English |
Published: |
IEEE
2018
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/20199/1/Evaluating%20Bad%20and%20Good%20EEG%20Segments%20Based%20on%20Extracted%20Features.pdf http://umpir.ump.edu.my/id/eprint/20199/2/Evaluating%20Bad%20and%20Good%20EEG%20Segments%20Based%20on%20Extracted%20Features.pdf http://umpir.ump.edu.my/id/eprint/20199/ https://doi.org/10.1109/ICCSCE.2017.8284385 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Understanding the sentiment on gig economy: good or bad?
by: Norazmi, Fatin Aimi Naemah, et al.
Published: (2022) -
Medical data analysis based on Nao Robot: an automated approach towards robotic real-time interaction with human body
by: Sharif, Mhd Saeed, et al.
Published: (2018) -
Classifying good and bad websites
by: Koo, Ee Woon
Published: (2015) -
Using digital storytelling to determine good and bad features for use in learning materials
by: Abdul Mutalib, Ariffin, et al.
Published: (2011) -
Good greed, bad greed, foolish greed
by: M. Shanmugam
Published: (2017)