Physiological signal – based Engagement Level Analysis under fuzzy framework

The paper presents real-time affective state detection, in particular, the engagement level detection by using physiological signals under fuzzy framework. In order to develop the fuzzy model, the engagement model is developed by using data collected from controlled design experiment. In measuring...

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Main Authors:	Ismail, Elliana, Ghazali, Aimi Shazwani, Sidek, Shahrul Na'im
Format:	Article
Language:	English
Published:	Trans Tech Publications Ltd., Switzerland 2013
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/32214/ http://irep.iium.edu.my/32214/ http://irep.iium.edu.my/32214/1/AMM.373-375.1768.pdf

id	iium-32214
recordtype	eprints
spelling	iium-322142020-02-14T01:46:03Z http://irep.iium.edu.my/32214/ Physiological signal – based Engagement Level Analysis under fuzzy framework Ismail, Elliana Ghazali, Aimi Shazwani Sidek, Shahrul Na'im T Technology (General) The paper presents real-time affective state detection, in particular, the engagement level detection by using physiological signals under fuzzy framework. In order to develop the fuzzy model, the engagement model is developed by using data collected from controlled design experiment. In measuring the level of engagement, the physiological signals; namely the Electrooculogram (EOG) is recorded using G-tec data acquisition system. In the experiment, the data collected are the average endogenous eye blinks and the average trajectory errors recorded from the trajectory that the subjects have to follow in completing specific tasks. For the tasks, the subjects are asked to track a set of prescribed paths within the allocated times and have to obey different speed constraints. Various shapes of trajectories are given to the subjects in order to study the level of engagement while performing the task. The data then are used to develop the fuzzy model to measure the level of engagement (LOE) of the subjects. Following the experiments, a series of questionnaires are given to the subjects to verify their engagement level when performing the experiments. Preliminary analysis on the data shows a good match between the experimental results and the questionnaire. Trans Tech Publications Ltd., Switzerland 2013 Article PeerReviewed application/pdf en http://irep.iium.edu.my/32214/1/AMM.373-375.1768.pdf Ismail, Elliana and Ghazali, Aimi Shazwani and Sidek, Shahrul Na'im (2013) Physiological signal – based Engagement Level Analysis under fuzzy framework. Applied Mechanics and Materials, 373-35. pp. 1768-1775. ISSN 1660-9336 http://www.scientific.net/AMM.373-375.1768
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Ismail, Elliana Ghazali, Aimi Shazwani Sidek, Shahrul Na'im Physiological signal – based Engagement Level Analysis under fuzzy framework
description	The paper presents real-time affective state detection, in particular, the engagement level detection by using physiological signals under fuzzy framework. In order to develop the fuzzy model, the engagement model is developed by using data collected from controlled design experiment. In measuring the level of engagement, the physiological signals; namely the Electrooculogram (EOG) is recorded using G-tec data acquisition system. In the experiment, the data collected are the average endogenous eye blinks and the average trajectory errors recorded from the trajectory that the subjects have to follow in completing specific tasks. For the tasks, the subjects are asked to track a set of prescribed paths within the allocated times and have to obey different speed constraints. Various shapes of trajectories are given to the subjects in order to study the level of engagement while performing the task. The data then are used to develop the fuzzy model to measure the level of engagement (LOE) of the subjects. Following the experiments, a series of questionnaires are given to the subjects to verify their engagement level when performing the experiments. Preliminary analysis on the data shows a good match between the experimental results and the questionnaire.
format	Article
author	Ismail, Elliana Ghazali, Aimi Shazwani Sidek, Shahrul Na'im
author_facet	Ismail, Elliana Ghazali, Aimi Shazwani Sidek, Shahrul Na'im
author_sort	Ismail, Elliana
title	Physiological signal – based Engagement Level Analysis under fuzzy framework
title_short	Physiological signal – based Engagement Level Analysis under fuzzy framework
title_full	Physiological signal – based Engagement Level Analysis under fuzzy framework
title_fullStr	Physiological signal – based Engagement Level Analysis under fuzzy framework
title_full_unstemmed	Physiological signal – based Engagement Level Analysis under fuzzy framework
title_sort	physiological signal – based engagement level analysis under fuzzy framework
publisher	Trans Tech Publications Ltd., Switzerland
publishDate	2013
url	http://irep.iium.edu.my/32214/ http://irep.iium.edu.my/32214/ http://irep.iium.edu.my/32214/1/AMM.373-375.1768.pdf
first_indexed	2023-09-18T20:46:30Z
last_indexed	2023-09-18T20:46:30Z
_version_	1777409710041858048

Physiological signal – based Engagement Level Analysis under fuzzy framework

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