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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iium-494992016-07-22T12:37:19Z http://irep.iium.edu.my/49499/ Development of emotional state model using electromagnetic signal information for rehabilitation robot Ghazali, Aimi Shazwani Sidek, Shahrul Na'im Fatai, Sado TA164 Bioengineering 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. Taylor and Francis / Atlantis Press 2016-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/49499/1/IJCIS.pdf Ghazali, Aimi Shazwani and Sidek, Shahrul Na'im 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 E-ISSN 1875-6883 http://www.tandfonline.com/doi/abs/10.1080/18756891.2016.1144154 10.1080/18756891.2016.1144154 |
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International Islamic University Malaysia |
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Online Access |
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English |
topic |
TA164 Bioengineering |
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TA164 Bioengineering Ghazali, Aimi Shazwani Sidek, Shahrul Na'im 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. |
format |
Article |
author |
Ghazali, Aimi Shazwani Sidek, Shahrul Na'im Fatai, Sado |
author_facet |
Ghazali, Aimi Shazwani Sidek, Shahrul Na'im 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 / Atlantis Press |
publishDate |
2016 |
url |
http://irep.iium.edu.my/49499/ http://irep.iium.edu.my/49499/ http://irep.iium.edu.my/49499/ http://irep.iium.edu.my/49499/1/IJCIS.pdf |
first_indexed |
2023-09-18T21:09:58Z |
last_indexed |
2023-09-18T21:09:58Z |
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1777411187119489024 |