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Development of emotional state model using electromagnetic signal information for rehabilitation robot

The paper presents a development of emotion recognition system which can detect human emotion in real-time leveraging information captured from human body's electromagnetic (EM) signals. A new model of controller framework was designed to embed the emotion recognition module which was evaluated...

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Main Authors:	Ghazali, Aimi Shazwani, Sidek, Shahrul Naim, Fatai, Sado
Format:	Article
Language:	English English English
Published:	Taylor and Francis Ltd. 2016
Subjects:	T Technology (General) TK5101 Telecommunication. Including telegraphy, radio, radar, television
Online Access:	http://irep.iium.edu.my/51633/1/51633_Development%20of%20Emotional%20State%20Model.pdf http://irep.iium.edu.my/51633/2/51633_Development%20of%20Emotional%20State%20Model_WOS.pdf http://irep.iium.edu.my/51633/3/51633_Development%20of%20Emotional%20State%20Model_SCOPUS.pdf http://irep.iium.edu.my/51633/ http://www.tandfonline.com/doi/abs/10.1080/18756891.2016.1144154?src=recsys
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spelling	my.iium.irep.516332016-12-30T01:34:17Z http://irep.iium.edu.my/51633/ Development of emotional state model using electromagnetic signal information for rehabilitation robot Ghazali, Aimi Shazwani Sidek, Shahrul Naim Fatai, Sado T Technology (General) TK5101 Telecommunication. Including telegraphy, radio, radar, television The paper presents a development of emotion recognition system which can detect human emotion in real-time leveraging information captured from human body's electromagnetic (EM) signals. A new model of controller framework was designed to embed the emotion recognition module which was evaluated on a robot-assisted rehabilitation platform. The framework is based on hybrid automata model and used to govern the suitable trajectory to deploy by the robotic platform in assisting rehabilitation therapy. The result of the new controller design demonstrates the efficacy of the approach where emotion of the subject is taken into consideration in switching the rehabilitation tasks. © 2016 the authors. Taylor and Francis Ltd. 2016-01-02 Article REM application/pdf en http://irep.iium.edu.my/51633/1/51633_Development%20of%20Emotional%20State%20Model.pdf application/pdf en http://irep.iium.edu.my/51633/2/51633_Development%20of%20Emotional%20State%20Model_WOS.pdf application/pdf en http://irep.iium.edu.my/51633/3/51633_Development%20of%20Emotional%20State%20Model_SCOPUS.pdf Ghazali, Aimi Shazwani and Sidek, Shahrul Naim and Fatai, Sado (2016) Development of emotional state model using electromagnetic signal information for rehabilitation robot. International Journal of Computational Intelligence Systems, 9 (1). pp. 65-79. ISSN 1875-6891 http://www.tandfonline.com/doi/abs/10.1080/18756891.2016.1144154?src=recsys 10.1080/18756891.2016.1144154
institution	Universiti Islam Antarabangsa Malaysia
building	IIUM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	International Islamic University Malaysia
content_source	IIUM Repository (IREP)
url_provider	http://irep.iium.edu.my/
language	English English English
topic	T Technology (General) TK5101 Telecommunication. Including telegraphy, radio, radar, television
spellingShingle	T Technology (General) TK5101 Telecommunication. Including telegraphy, radio, radar, television Ghazali, Aimi Shazwani Sidek, Shahrul Naim Fatai, Sado Development of emotional state model using electromagnetic signal information for rehabilitation robot
description	The paper presents a development of emotion recognition system which can detect human emotion in real-time leveraging information captured from human body's electromagnetic (EM) signals. A new model of controller framework was designed to embed the emotion recognition module which was evaluated on a robot-assisted rehabilitation platform. The framework is based on hybrid automata model and used to govern the suitable trajectory to deploy by the robotic platform in assisting rehabilitation therapy. The result of the new controller design demonstrates the efficacy of the approach where emotion of the subject is taken into consideration in switching the rehabilitation tasks. © 2016 the authors.
format	Article
author	Ghazali, Aimi Shazwani Sidek, Shahrul Naim Fatai, Sado
author_facet	Ghazali, Aimi Shazwani Sidek, Shahrul Naim Fatai, Sado
author_sort	Ghazali, Aimi Shazwani
title	Development of emotional state model using electromagnetic signal information for rehabilitation robot
title_short	Development of emotional state model using electromagnetic signal information for rehabilitation robot
title_full	Development of emotional state model using electromagnetic signal information for rehabilitation robot
title_fullStr	Development of emotional state model using electromagnetic signal information for rehabilitation robot
title_full_unstemmed	Development of emotional state model using electromagnetic signal information for rehabilitation robot
title_sort	development of emotional state model using electromagnetic signal information for rehabilitation robot
publisher	Taylor and Francis Ltd.
publishDate	2016
url	http://irep.iium.edu.my/51633/1/51633_Development%20of%20Emotional%20State%20Model.pdf http://irep.iium.edu.my/51633/2/51633_Development%20of%20Emotional%20State%20Model_WOS.pdf http://irep.iium.edu.my/51633/3/51633_Development%20of%20Emotional%20State%20Model_SCOPUS.pdf http://irep.iium.edu.my/51633/ http://www.tandfonline.com/doi/abs/10.1080/18756891.2016.1144154?src=recsys
_version_	1643613995411701760
score	13.211869

Development of emotional state model using electromagnetic signal information for rehabilitation robot

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