Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Conferences, Workshops, Symposiums, and Seminars
  4. A stretchable sensor for force estimation in soft wearable robots
 
conference paper

A stretchable sensor for force estimation in soft wearable robots

Basla, Chiara
•
Georgarakis, Anna-Maria
•
Reichmuth, Markus
Show more
January 1, 2022
2022 International Conference On Rehabilitation Robotics (Icorr)
International Conference on Rehabilitation Robotics (ICORR)

Soft wearable robots to assist human movements, such as exosuits, have rapidly gained attention thanks to their compliance, low weight and accessibility. However, force measurement in exosuits still rely on load cells and rigid sensors that are not wearable or unsuitable for applications outside the lab. Soft, stretchable and lightweight sensors that become invisible when integrated in an exosuit and perfectly conform to the human body represent a promising alternative. In this work, we developed a wearable sensing system based on a soft stretchable silicone-based strain gauge to measure the forces acting in the passive elastic elements of an exosuit. To measure sensor's accuracy, two unimpaired participants walked on a treadmill at speeds between 0.9 and 2.1 ms(-1). When comparing our solution to a state-of-the-art motion capture system, we found an average root mean square error in force estimation of 12.5% and a standard deviation of 7.4%. Furthermore, we showed the portability of our sensory system by monitoring the forces exerted by the wearable robot during outdoor walking. Our study shows the potential of using stretchable sensors to monitor walking patterns in studies outside the lab and to control human-robot interaction.

  • Details
  • Metrics
Type
conference paper
DOI
10.1109/ICORR55369.2022.9896479
Web of Science ID

WOS:000866523000012

Author(s)
Basla, Chiara
Georgarakis, Anna-Maria
Reichmuth, Markus
Chen, Haotian  
Wolf, Peter
Lacour, Stephanie  
Riener, Robert
Xiloyannis, Michele
Date Issued

2022-01-01

Publisher

IEEE

Publisher place

New York

Published in
2022 International Conference On Rehabilitation Robotics (Icorr)
ISBN of the book

978-1-6654-8829-7

Series title/Series vol.

International Conference on Rehabilitation Robotics ICORR

Subjects

Engineering, Biomedical

•

Robotics

•

Rehabilitation

•

Engineering

•

Robotics

•

Rehabilitation

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

Event nameEvent placeEvent date
International Conference on Rehabilitation Robotics (ICORR)

Rotterdam, NETHERLANDS

Jul 25-29, 2022

Available on Infoscience
November 7, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/191959
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés