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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor and Francis / Atlantis Press
2016
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| Subjects: | |
| Online Access: | 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 |
| Summary: | 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. |
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