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...

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Main Authors: Nurshafiqa Saffah, Mohd Sharif, Rahmah, Mokhtar, Siti Normaziah, Ihsan, Azlina, Zainuddin
Format: Conference or Workshop Item
Language:English
Published: 2016
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/17314/
http://umpir.ump.edu.my/id/eprint/17314/1/271_281.pdf
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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