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:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/17314/ http://umpir.ump.edu.my/id/eprint/17314/1/271_281.pdf

id	ump-17314
recordtype	eprints
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
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
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
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.
format	Conference or Workshop Item
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
title	Learner's Positive and Negative Emotion Prediction using i-Emotion
title_short	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_sort	learner's positive and negative emotion prediction using i-emotion
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/17314/ http://umpir.ump.edu.my/id/eprint/17314/1/271_281.pdf
first_indexed	2023-09-18T22:23:49Z
last_indexed	2023-09-18T22:23:49Z
_version_	1777415832872157184

Learner's Positive and Negative Emotion Prediction using i-Emotion

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