A flexible architecture to enhance wearable robots: Integration of EMG-informed models

E. Ceseracciu, A. Mantoan, M. Bassa, J. C. Moreno, Jose L Pons, G. Asin Prieto, A. J. Del Ama, E. Marquez-Sanchez, A. Gil-Agudo, C. Pizzolato, D. G. Lloyd, M. Reggiani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations

Abstract

Research on wearable robotic devices is fostered by the need to assist and restore human locomotion, which is essential for most daily life activities. Despite a continuous technological advancement, many challenges are to be faced before establishing the use of these devices as part of the rehabilitation process. A main concern is how to actively engage the users and monitor how they are affected by the exoskeleton. Basic analyses, such as measuring walking speed, must be extended to include analysis on balance, brain activity, and evaluation of neuromechanical effects. This scenario requires the use of different distributed sensor devices that must be carefully synchronized. This work describes the architecture we implemented to extend the capabilities of the H2 exoskeleton. As a proof of the architecture validity, we show the online estimation of users' muscle forces through the acquisition of electromyographic signals, that drive neuromusculoskeletal models. The proposed framework, built upon the Robot Operating System (ROS), aims to be reusable for a wide range of setups, including different exoskeletons and sensors.

Original languageEnglish (US)
Title of host publicationIROS Hamburg 2015 - Conference Digest
Subtitle of host publicationIEEE/RSJ International Conference on Intelligent Robots and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4368-4374
Number of pages7
ISBN (Electronic)9781479999941
DOIs
StatePublished - Dec 11 2015
EventIEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2015 - Hamburg, Germany
Duration: Sep 28 2015Oct 2 2015

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
Volume2015-December
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Other

OtherIEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2015
Country/TerritoryGermany
CityHamburg
Period9/28/1510/2/15

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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