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

bookPart








Tabasi, A.

Lazzaroi, M.

Brouwer, N.P.

Kingma, I.

Dijk, W. van

Looze, M.P. de

Toxiri, S.

Ortiz, J.

Dieen, J.H. van
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.
Topics






LiftingExoskeletonsBiomechanicalLow back painManual liftingModelsMuscles
TNO Identifier
957892
Repository link
https://resolver.tno.nl/uuid:32ae00cc-4260-4186-976b-30a8130f0202
ISBN
978-3-030-69547-7
978-3-030-69546-0
Publisher
Cham
Source title
Wearable Robotics: Challenges and Trends. WeRob 2020, International Symposium on Wearable Robotics
Editor(s)
Moreno, J.C.
Masood, J.
Schneider, U.
Maufroy, C.
Pons, J.L.
Place of publication
Springer
Pages
401-405
Files
To receive the publication files, please send an e-mail request to TNO Repository.