Auto-adaptative Robot-aided Therapy based in 3D Virtual Tasks controlled by a Supervised and Dynamic Neuro-Fuzzy System

TitleAuto-adaptative Robot-aided Therapy based in 3D Virtual Tasks controlled by a Supervised and Dynamic Neuro-Fuzzy System
Publication TypeJournal Article
Year of Publication2015
AuthorsLledó, L. D., A. Bertomeu, J. Díez, F. J. Badesa, R. Morales, J. M. Sabater, and N. Garcia-Aracil
JournalInternational Journal of Interactive Multimedia and Artificial Intelligence
ISSN1989-1660
IssueSpecial Issue on Digital Economy
Volume3
Number2
Date Published03/2015
Pagination63-68
Abstract

This paper presents an application formed by a classification method based on the architecture of ART neural network (Adaptive Resonance Theory) and the Fuzzy Set Theory to classify physiological reactions in order to automatically and dynamically adapt a robot-assisted rehabilitation therapy to the patient needs, using a three-dimensional task in a virtual reality system. Firstly, the mathematical and structural model of the neuro-fuzzy classification method is described together with the signal and training data acquisition. Then, the virtual designed task with physics behavior and its development procedure are explained. Finally, the general architecture of the experimentation for the auto-adaptive therapy is presented using the classification method with the virtual reality exercise.

KeywordsCollision Detection, Fuzzy, Rehabilitation Robotics, Virtual Worlds
DOI10.9781/ijimai.2015.328
URLhttp://www.ijimai.org/journal/sites/default/files/files/2015/02/ijimai20143_2_8_pdf_17229.pdf
AttachmentSize
IJIMAI20153_2_8.pdf813.13 KB