Volume 9, Issue 1, January 2016, Pages 65 - 79
Development of Emotional State Model using Electromagnetic Signal Information for Rehabilitation Robot
Authors
Aimi Shazwani Ghazaliaimighazali@iium.edu.my
Department of Mechatronics, Faculty of Engineering, International Islamic University Malaysia, Jln. Gombak, 53100, Kuala Lumpur, Malaysia
Shahrul Naim Sideksnaim@iium.edu.my
Department of Mechatronics, Faculty of Engineering, International Islamic University Malaysia, Jln. Gombak, 53100, Kuala Lumpur, Malaysia
Sado Fataiabdfsado1@gmail.com
Received 17 August 2015, Accepted 30 November 2015, Available Online 1 January 2016.
- DOI
- 10.1080/18756891.2016.1144154How to use a DOI?
- Keywords
- electromagnetic (EM) signal; Human Machine Interaction (HMI); rehabilitation; robot-assisted platform
- Abstract
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.
- Copyright
- © 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
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TY - JOUR AU - Aimi Shazwani Ghazali AU - Shahrul Naim Sidek AU - Sado Fatai PY - 2016 DA - 2016/01/01 TI - Development of Emotional State Model using Electromagnetic Signal Information for Rehabilitation Robot JO - International Journal of Computational Intelligence Systems SP - 65 EP - 79 VL - 9 IS - 1 SN - 1875-6883 UR - https://doi.org/10.1080/18756891.2016.1144154 DO - 10.1080/18756891.2016.1144154 ID - Ghazali2016 ER -