Print Email Facebook Twitter 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 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 LiftingExoskeletonsBiomechanicalLow back painManual liftingModelsMuscles 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 Files To receive the publication files, please send an e-mail request to TNO Library.