Title
Calibrating an EMG-Driven Muscle Model and a Regression Model to Estimate Moments Generated Actively by Back Muscles for Controlling an Actuated Exoskeleton with Limited Data
Author
Tabasi, A.
Lazzaroi, M.
Brouwer, N.P.
Kingma, I.
van Dijk, W.
de Looze, M.P.
Toxiri, S.
Ortiz, J.
van Dieen, J.H.
Contributor
Moreno, J.C. (editor)
Masood, J. (editor)
Schneider, U. (editor)
Maufroy, C. (editor)
Pons, J.L. (editor)
Publication year
2022
Abstract
Estimation of low-back load can be used to determine the assistance to be provided by an actuated back-support exoskeleton. To this end, an EMG-driven muscle model and a regression model can be implemented. The goal of the regression model is to reduce the number of required sensors for load estimation. Both models need to be calibrated. This study aims to find the impacts of limiting calibration data on low-back loading estimation through these models. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Subject
Lifting
Exoskeletons
Biomechanical
Low back pain
Manual lifting
Models
Muscles
To reference this document use:
http://resolver.tudelft.nl/uuid:32ae00cc-4260-4186-976b-30a8130f0202
DOI
https://doi.org/10.1007/978-3-030-69547-7_65
TNO identifier
957892
Publisher
Cham, Springer
ISBN
9783030695477
Source
Wearable Robotics: Challenges and Trends. WeRob 2020, International Symposium on Wearable Robotics, 27 (27), 401-405
Series
Biosystems & Biorobotics
Document type
bookPart