1. Supervised and Dynamic Neuro-Fuzzy Systems to Classify Physiological Responses in Robot-Assisted Neurorehabilitation.
- Author
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Lledó, Luis D., Badesa, Francisco J., Almonacid, Miguel, Cano-Izquierdo, José M., Sabater-Navarro, José M., Fernández, Eduardo, and Garcia-Aracil, Nicolás
- Subjects
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NEUROREHABILITATION , *ARTIFICIAL neural networks , *FUZZY logic , *TASK performance , *HUMAN-robot interaction - Abstract
This paper presents the application of an Adaptive Resonance Theory (ART) based on neural networks combined with Fuzzy Logic systems to classify physiological reactions of subjects performing robot-assisted rehabilitation therapies. First, the theoretical background of a neuro-fuzzy classifier called S-dFasArt is presented. Then, the methodology and experimental protocols to perform a robot-assisted neurorehabilitation task are described. Our results show that the combination of the dynamic nature of S-dFasArt classifier with a supervisory module are very robust and suggest that this methodology could be very useful to take into account emotional states in robot-assisted environments and help to enhance and better understand human-robot interactions. [ABSTRACT FROM AUTHOR]
- Published
- 2015
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