Nurshafiqa Saffah, Mohd Sharif and Rahmah, Mokhtar and Siti Normaziah, Ihsan and Azlina, Zainuddin (2016) Learner's Positive and Negative Emotion Prediction using i-Emotion. In: Proceeding of International Competition and Exhibition on Computing Innovation 2016 , 6-8 December 2016 , University Sports Complex, Universiti Malaysia Pahang. pp. 271-281.. ISBN 978-967-2054-04-7
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Abstract
Bio Sensor in emotion includes the use of a sensor known as Brain Computer Interface (BCI) in recognizing the emotion signals that occur in the human brain (electroencephalograph signals). The researcher used a BCI tool to collect the required data of attention and meditation value scale through a qualitative sampling. The respondent for this research are school kids’ age between 7 to 12 years old. In order to classify their positive and negative emotions, these EEG signals involves a lot of data and need to be mined in order to make it valuable and meaningful. By using rule-based (PART) classifier, the decision lists represent the regularities of the attention and meditation levels among kids. The data were generated and converted into several rule sets named rule-based prediction set and have been implemented in the i-Emotion using MATLAB environment. A baseline set which is adapted from an established eSense meter values was also coded into the prototype.
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Uncontrolled Keywords: | Brain Computer Interface, rule-based prediction set, baseline set, attention, meditation |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Noorul Farina Arifin |
| Date Deposited: | 24 Mar 2017 01:44 |
| Last Modified: | 06 Feb 2018 06:14 |
| URI: | http://umpir.ump.edu.my/id/eprint/17314 |
| Download Statistic: | View Download Statistics |
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