Learner's Positive and Negative Emotion Prediction using i-Emotion
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...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2016
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/17314/ http://umpir.ump.edu.my/id/eprint/17314/1/271_281.pdf |
| _version_ | 1848820399101444096 |
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| author | Nurshafiqa Saffah, Mohd Sharif Rahmah, Mokhtar Siti Normaziah, Ihsan Azlina, Zainuddin |
| author_facet | Nurshafiqa Saffah, Mohd Sharif Rahmah, Mokhtar Siti Normaziah, Ihsan Azlina, Zainuddin |
| author_sort | Nurshafiqa Saffah, Mohd Sharif |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T02:08:50Z |
| format | Conference or Workshop Item |
| id | ump-17314 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:08:50Z |
| publishDate | 2016 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-173142018-02-06T06:14:02Z http://umpir.ump.edu.my/id/eprint/17314/ Learner's Positive and Negative Emotion Prediction using i-Emotion Nurshafiqa Saffah, Mohd Sharif Rahmah, Mokhtar Siti Normaziah, Ihsan Azlina, Zainuddin QA75 Electronic computers. Computer science 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. 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/17314/1/271_281.pdf 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 (Published) |
| spellingShingle | QA75 Electronic computers. Computer science Nurshafiqa Saffah, Mohd Sharif Rahmah, Mokhtar Siti Normaziah, Ihsan Azlina, Zainuddin Learner's Positive and Negative Emotion Prediction using i-Emotion |
| title | Learner's Positive and Negative Emotion Prediction using i-Emotion |
| title_full | Learner's Positive and Negative Emotion Prediction using i-Emotion |
| title_fullStr | Learner's Positive and Negative Emotion Prediction using i-Emotion |
| title_full_unstemmed | Learner's Positive and Negative Emotion Prediction using i-Emotion |
| title_short | Learner's Positive and Negative Emotion Prediction using i-Emotion |
| title_sort | learner's positive and negative emotion prediction using i-emotion |
| topic | QA75 Electronic computers. Computer science |
| url | http://umpir.ump.edu.my/id/eprint/17314/ http://umpir.ump.edu.my/id/eprint/17314/1/271_281.pdf |