A new muscle fatigue and recovery model and its ergonomics application in human simulation

Ma, Liang; Chablat, Damien; Bennis, Fouad; Zhang, Wei; Guillaume, François

doi:10.1080/17452759.2010.504056

Cited by 75 publications

(50 citation statements)

References 28 publications

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“…One of the solutions to improve the working conditions is to estimate and analyze muscle forces developed by a human during its work tasks. This estimation is a good way to improve the ergonomics [2], because of the tools that can be used to perform the analysis [10]. Our goal is to test ergonomics of working stations by analyzing the muscle forces in a virtual scene.…”

Section: Introductionmentioning

confidence: 99%

Inverse dynamics method using optimization techniques for the estimation of muscles forces involved in the elbow motion

Pontonnier

Dumont

2009

Int J Interact Des Manuf

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Section: Introductionmentioning

confidence: 99%

Inverse dynamics method using optimization techniques for the estimation of muscles forces involved in the elbow motion

Pontonnier

Dumont

2009

Int J Interact Des Manuf

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“…A fatigue model from [20] estimated the fatigue in the shoulder and elbow, but was modified to separate flexion and extension motions of the joints since isolated muscles are used. Initially the strength capacity of each motion (T c ) is set to its maximum isometric strength (T max ) published in [21].…”

Section: A Simulation Setupmentioning

confidence: 99%

Investigation of reducing fatigue and musculoskeletal disorder with passive actuators

Carmichael

Liu

Waldron

2010

2010 IEEE/RSJ International Conference on Intelligent Robots and Systems

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Robotic systems such as exoskeletons can be effectively used in the reduction of fatigue and musculoskeletal disorders (MSD) associated with physical tasks, but robots which work in physical contact with humans pose problems with user safety. A novel approach to developing intrinsically safe robots is to use passive actuators which have the advantage of being safer, ensuring stability, high force/weight ratios and lower power consumption. It is however not clear how effective an exoskeleton utilizing passive actuators would be in reducing fatigue and the risk of MSD. This paper analyzes the benefit of using such a system with results from dynamic simulations and an experiment using a specially designed mechanism used for evaluation. Results indicate that fatigue and effort could be reduced if robot impedance is minimized. Experiments also highlighted issues of implementing such a system into practice.

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“…The discomfort level of each joint is calculated as a ratio between torques exerted by the joint (calculated using the inverse dynamic) and maximum torque that can be produced by the joint, which is obtained from the ergonomics data. Ma et al 22 combined the conventional posture analysis techniques (proposed in ergonomic analysis) and the fatigue index in the muscles to calculate comfort during the manual handling operations. Yang et al 19 proposed a discomfort index as an objective way to estimate the most comfortable position of the human body.…”

Section: Characteristics Of Human Motion Joint Activation Ergonomy mentioning

confidence: 99%

Toward optimal mapping of human dual-arm motion to humanoid motion for tasks involving contact with the environment

Tomić

Jovanović

Chevallereau

et al. 2018

International Journal of Advanced Robotic Systems

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In this article, we explore human motion skills in the dual-arm manipulation tasks that include contact with equipment with the final aim to generate human-like humanoid motion. Human motion is analyzed using the optimization approaches starting with the assumption that human motion is optimal. A combination of commonly used optimization criteria in the joint space with the weight coefficients is considered: minimization of kinetic energy, minimization of joint velocities, minimization of the distance between the current and ergonomic positions, and maximization of manipulability. The contribution of each criterion for seven different dual-arm manipulation tasks to provide the most accurate imitation of the human motion is given via suggested inverse optimization approach calculating values of weight coefficients. The effects on actors' body characteristics and the characteristics of the environment (involved equipment) on the choice of criterion functions are additionally analyzed. The optimal combination of weight coefficients calculated by the inverse optimization approach is used in our inverse kinematics algorithm to transfer human motion skills to the motion of the humanoid robots. The results show that the optimal combination of weight coefficients is able to generate human-like humanoid motions rather than individual one of the considered criterion functions. The recorded human motion and the motion of the humanoid robot ROMEO, obtained with the strategy used by human and defined by our inverse optimal control approach, for the tasks "opening/closing a drawer" are assessed visually and quantitatively.

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A new muscle fatigue and recovery model and its ergonomics application in human simulation

Cited by 75 publications

References 28 publications

Inverse dynamics method using optimization techniques for the estimation of muscles forces involved in the elbow motion

Inverse dynamics method using optimization techniques for the estimation of muscles forces involved in the elbow motion

Investigation of reducing fatigue and musculoskeletal disorder with passive actuators

Toward optimal mapping of human dual-arm motion to humanoid motion for tasks involving contact with the environment

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