Workload Estimation System of Sequential Manual Tasks by Using Muscle Fatigue Model

2018 ◽  
pp. 82-86 ◽  
Author(s):  
Akihiko Seo ◽  
Maki Sakaguchi ◽  
Kazuki Hiranai ◽  
Atsushi Sugama ◽  
Takanori Chihara
Keyword(s):  
Muscle Fatigue ◽  
Fatigue Model ◽  
Estimation System ◽  
Manual Tasks

scholarly journals Validation of a New Dynamic Muscle Fatigue Model and DMET Analysis

2016 ◽  
Vol 16 (1) ◽  
pp. 22-32
Author(s):  
Deep Seth ◽  
Damien Chablat ◽  
Fouad Bennis ◽  
Sophie Sakka ◽  
Marc Jubeau ◽  
...  
Keyword(s):  
Muscle Fatigue ◽  
Maximum Voluntary Contraction ◽  
Voluntary Contraction ◽  
Endurance Time ◽  
Absolute Value ◽  
Fatigue Model ◽  
Human Effort ◽  
Skeletal Disorder ◽  
Contraction Factor ◽  
Manual Tasks

Automation in industries reduced the human effort, but still there are many manual tasks in industries which lead to musculo-skeletal disorder (MSD). Muscle fatigue is one of the reasons leading to MSD. The objective of this article is to experimentally validate a new dynamic muscle fatigue model taking cocontraction factor into consideration using electromyography (EMG) and Maximum voluntary contraction (MVC) data. A new model (Seth's model) is developed by introducing a co-contraction factor 'n' in R. Ma's dynamic muscle fatigue model. The experimental data of ten subjects are used to analyze the muscle activities and muscle fatigue during extension-flexion motion of the arm on a constant absolute value of the external load. The findings for co-contraction factor shows that the fatigue increases when co-contraction index decreases. The dynamic muscle fatigue model is validated using the MVC data, fatigue rate and co-contraction factor of the subjects. It has been found that with the increase in muscle fatigue, co-contraction index decreases and 90% of the subjects followed the exponential function predicted by fatigue model. The model is compared with other models on the basis of dynamic maximum endurance time (DMET). The co-contraction has significant effect on the muscle fatigue model and DMET. With the introduction of co-contraction factor DMET decreases by 25:9% as compare to R. Ma's Model.

scholarly journals New dynamic muscle fatigue model to limit musculo-skeletal disorder

2016 ◽  
Author(s):  
Deep Seth ◽  
Damien Chablat ◽  
Fouad Bennis ◽  
Sophie Sakka ◽  
Marc Jubeau ◽  
...  
Keyword(s):  
Muscle Fatigue ◽  
Fatigue Model ◽  
Skeletal Disorder

scholarly journals Human Muscle Fatigue Model in Dynamic Motions

2012 ◽  
pp. 349-356 ◽  
Author(s):  
Ruina Ma ◽  
Damien Chablat ◽  
Fouad Bennis ◽  
Liang Ma
Keyword(s):  
Muscle Fatigue ◽  
Human Muscle ◽  
Fatigue Model ◽  
Human Muscle Fatigue

Physiology-based dynamic muscle fatigue model for upper limbs during construction tasks

2020 ◽  
Vol 78 ◽  
pp. 102984
Author(s):  
Houtan Jebelli ◽  
JoonOh Seo ◽  
Sungjoo Hwang ◽  
SangHyun Lee
Keyword(s):  
Muscle Fatigue ◽  
Upper Limbs ◽  
Fatigue Model ◽  
Construction Tasks

scholarly journals An efficient muscle fatigue model for forward and inverse dynamic analysis of human movements

2011 ◽  
Vol 2 ◽  
pp. 262-274 ◽  
Author(s):  
Miguel T. Silva ◽  
André F. Pereira ◽  
Jorge M. Martins
Keyword(s):  
Dynamic Analysis ◽  
Muscle Fatigue ◽  
Inverse Dynamic ◽  
Inverse Dynamic Analysis ◽  
Human Movements ◽  
Fatigue Model

Implementation of an efficient muscle fatigue model in the framework of multibody systems dynamics for analysis of human movements

2011 ◽  
Vol 225 (4) ◽  
pp. 359-370 ◽  
Author(s):  
A F Pereira ◽  
M T Silva ◽  
J M Martins ◽  
M de Carvalho
Keyword(s):  
Muscle Fatigue ◽  
Equations Of Motion ◽  
Motor Units ◽  
Systems Dynamics ◽  
Main Body ◽  
Endurance Time ◽  
Human Movements ◽  
Fatigue Model ◽  
Body Joints ◽  
Muscle Actuators

The aim of this study is to implement and integrate a novel and versatile muscle fatigue model in an existing multibody formulation with natural coordinates. The equations of motion of the formulation are rearranged to deal with muscle actuators as externally concentrated forces instead of being considered as kinematic muscle actuator drivers. A muscle fatigue model, originally developed to predict the endurance time of the main body joints, is included in the multibody formulation. The model stems from the compartment theory and uses a bounded controller to rule the rate of motor units changing between the three compartments (resting, activated, and fatigued) that made up the model. The resulting formulation is applied to two example cases involving the human upper extremity, with redundant muscles, to evaluate its robustness and accuracy. Results showed that the proposed methodologies are a valid approach for the calculation of the redundant muscle forces in the presence of muscular fatigue.

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