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Physiological signal – based Engagement Level Analysis under fuzzy framework

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

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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.

Item Type: Article (Journal)
Additional Information: 3028/32214
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Dr. Shahrul Naim Sidek
Date Deposited: 04 Oct 2013 16:28
Last Modified: 14 Feb 2020 09:46
URI: http://irep.iium.edu.my/id/eprint/32214

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