2-D forward dynamics simulation of gait adaptation to muscle weakness in elderly gait

2021 ◽  
Vol 85 ◽  
pp. 71-77
Author(s):  
Tatsuya Arakawa ◽  
Tomohiro Otani ◽  
Yo Kobayashi ◽  
Masao Tanaka
Keyword(s):  
Muscle Weakness ◽  
Dynamics Simulation ◽  
Forward Dynamics ◽  
Gait Adaptation

Effect of Muscle Modeling in the Efficiency and Accuracy of the Forward-Dynamics Simulation of Human Gait

2021 ◽  
pp. 299-303
Author(s):  
Francisco Mouzo ◽  
Florian Michaud ◽  
Mario Lamas ◽  
Urbano Lugris ◽  
Javier Cuadrado
Keyword(s):  
Dynamics Simulation ◽  
Human Gait ◽  
Forward Dynamics ◽  
Muscle Modeling

scholarly journals Can forward dynamics simulation with simple model estimate complex phenomena?: Case study on sprinting using running-specific prosthesis

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Akihiko Murai ◽  
Hiroaki Hobara ◽  
Satoru Hashizume ◽  
Yoshiyuki Kobayashi ◽  
Mitsunori Tada
Keyword(s):  
Simple Model ◽  
Dynamics Simulation ◽  
Forward Dynamics ◽  
Model Estimate ◽  
Complex Phenomena

Fuzzy uncertainty in forward dynamics simulation

2019 ◽  
Vol 126 ◽  
pp. 590-608 ◽  
Author(s):  
Markus Eisentraudt ◽  
Sigrid Leyendecker
Keyword(s):  
Dynamics Simulation ◽  
Forward Dynamics ◽  
Fuzzy Uncertainty

Feedback control of the neuromusculoskeletal system in a forward dynamics simulation of stair locomotion

2009 ◽  
Vol 223 (6) ◽  
pp. 663-675 ◽  
Author(s):  
A Selk Ghafari ◽  
A Meghdari ◽  
G Vossoughi
Keyword(s):  
Feedback Control ◽  
Degrees Of Freedom ◽  
Inverse Dynamics ◽  
Sagittal Plane ◽  
Human Movement ◽  
Stair Climbing ◽  
Dynamics Simulation ◽  
Forward Dynamics ◽  
Control Loops ◽  
The Stability

The aim of this study is to employ feedback control loops to provide a stable forward dynamics simulation of human movement under repeated position constraint conditions in the environment, particularly during stair climbing. A ten-degrees-of-freedom skeletal model containing 18 Hill-type musculotendon actuators per leg was employed to simulate the model in the sagittal plane. The postural tracking and obstacle avoidance were provided by the proportional—integral—derivative controller according to the modulation of the time rate change of the joint kinematics. The stability of the model was maintained by controlling the velocity of the body's centre of mass according to the desired centre of pressure during locomotion. The parameters of the proposed controller were determined by employing the iterative feedback tuning approach to minimize tracking errors during forward dynamics simulation. Simultaneously, an inverse-dynamics-based optimization was employed to compute a set of desired musculotendon forces in the closed-loop simulation to resolve muscle redundancy. Quantitative comparisons of the simulation results with the experimental measurements and the reference muscles' activities illustrate the accuracy and efficiency of the proposed method during the stable ascending simulation.

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