Computational Method for Muscle Forces Estimation Based on Hill Rheological Model

  • Olfa JemaaEmail author
  • Sami Bennour
  • David Daney
  • Lotfi Romdhane
Conference paper
Part of the Mechanisms and Machine Science book series (Mechan. Machine Science, volume 84)


The aim of this paper is to propose a computationally efficient method at combining a direct dynamics approach and musculoskeletal system in order to generate muscle forces. The estimation method is essentially decomposed into three main parts. The first part is the development of a biomechanical model of upper limb allows to determine the musculotendon lengths. The second part is the processing of electromyography signals (EMG). The last part consists of estimating the musculotendon forces based on a Hill rheological model allowing to represent the elastic behavior of muscles. This study selects the motion of elbow flexion as the research object. The obtained results have confirmed the feasibility of forward approach for estimating muscle forces during dynamic contraction. They have shown a good overall correlation between the estimated muscle forces and the measured EMG data. These estimated muscle forces can be exploited in future experimental work as effective information to design and control exoskeletons.


Musculoskeletal model Dynamics activation Dynamics contraction Hill rheological Muscle forces 


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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Olfa Jemaa
    • 1
    Email author
  • Sami Bennour
    • 1
  • David Daney
    • 2
  • Lotfi Romdhane
    • 1
    • 3
  1. 1.Laboratory of Mechanical of SousseUniversity of SousseSousseTunisia
  2. 2.National Institute for Research in Computer Science and AutomationBordeauxFrance
  3. 3.College of EngineeringAmerican University of SharjahSharjahUAE

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