EEG based sensing of brain signals : emotional states classification
Electroencephalogram (EEG) is one of the more popular and powerful tool used today to study of human brain activities and emotions. With the increasing trend of using communication tools, it will be desirable to explore in the area of emotions classification. The objective of this project is to use...
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sg-ntu-dr.10356-456062023-07-07T16:10:40Z EEG based sensing of brain signals : emotional states classification Heah, Dian Chuan. Ser Wee School of Electrical and Electronic Engineering Centre for Signal Processing DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics Electroencephalogram (EEG) is one of the more popular and powerful tool used today to study of human brain activities and emotions. With the increasing trend of using communication tools, it will be desirable to explore in the area of emotions classification. The objective of this project is to use EEG to study the effectiveness of various classification algorithms for two emotional states of the brain signals, “Happy” and “Sad”. Data was collected from 5 subjects (males) using pictures from the International Affective Picture System (IAPS) as stimuli. A total of two trials were conducted for each subject with 30 pictures in each trial. The experiments conducted were meticulously designed to provide minimum artifacts’ interference and maximum quality of the data so as to ensure utmost reliability in the data collected. These are done by carefully designing the timings of the stimuli and taking extensive measures in the impedance reading of electrodes. Bachelor of Engineering 2011-06-15T07:14:50Z 2011-06-15T07:14:50Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/45606 en Nanyang Technological University 74 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics Heah, Dian Chuan. EEG based sensing of brain signals : emotional states classification |
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Electroencephalogram (EEG) is one of the more popular and powerful tool used today to study of human brain activities and emotions. With the increasing trend of using communication tools, it will be desirable to explore in the area of emotions classification.
The objective of this project is to use EEG to study the effectiveness of various classification algorithms for two emotional states of the brain signals, “Happy” and “Sad”.
Data was collected from 5 subjects (males) using pictures from the International Affective Picture System (IAPS) as stimuli. A total of two trials were conducted for each subject with 30 pictures in each trial.
The experiments conducted were meticulously designed to provide minimum
artifacts’ interference and maximum quality of the data so as to ensure utmost
reliability in the data collected. These are done by carefully designing the timings of
the stimuli and taking extensive measures in the impedance reading of electrodes. |
author2 |
Ser Wee |
author_facet |
Ser Wee Heah, Dian Chuan. |
format |
Final Year Project |
author |
Heah, Dian Chuan. |
author_sort |
Heah, Dian Chuan. |
title |
EEG based sensing of brain signals : emotional states classification |
title_short |
EEG based sensing of brain signals : emotional states classification |
title_full |
EEG based sensing of brain signals : emotional states classification |
title_fullStr |
EEG based sensing of brain signals : emotional states classification |
title_full_unstemmed |
EEG based sensing of brain signals : emotional states classification |
title_sort |
eeg based sensing of brain signals : emotional states classification |
publishDate |
2011 |
url |
http://hdl.handle.net/10356/45606 |
_version_ |
1772825638034472960 |