Simulating the Impact During Human Jumping by Means of a 4-Degrees-of-Freedom Model With Time-Dependent Properties

Fritz, Martin; Peikenkamp, Klaus

doi:10.1080/00222890109601914

Cited by 8 publications

(8 citation statements)

References 8 publications

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“…The initial values of the spring and damper parameters of the submodel athlete are shown in Table 1. The values were derived from the corresponding values given by Fritz and Peikenkamp [4] and modified for the jumping movement. During the movement the parameter values are changed according to the time functions mentioned above.…”

Section: Simulationmentioning

confidence: 99%

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Simulation of the complex countermovement jumping by means of a simple four-degrees-of-freedom model

Fritz

Peikenkamp

2010

Med Biol Eng Comput

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By means of a four-degrees-of-freedom model the vertical movements of an athlete and the time course of the ground reaction force were simulated during a countermovement jump on a concrete and a wooden surface. The model masses were connected to each other and to the surface by springs and dampers. At first the stiffness of the springs decreased in order to initiate the countermovement. Afterwards the stiffness increased like the muscle activity so that the flexion of the model 'legs' were decelerated before the extension starts. The best result was attained when the stiffness of the spring between the model masses 'thighs' and 'trunk' increased before the other three springs. Compared with the muscle activity this means that for a successful jump the upper body segments have to be accelerated before the segments near to the ground are accelerated. The model 'athlete' was connected to a model of the surface. It could be shown that the jump on a concrete surface results in a better jump height than the jump on an elastic wooden surface if the muscle activation is not adapted to the surface properties.

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Section: Simulationmentioning

confidence: 99%

“…With a simpler model Fritz and Peikenkamp [4] simulated the landing after a jump. The model consisted of four masses, springs and dampers with time-dependent parameters.…”

Section: Introductionmentioning

confidence: 99%

Simulation of the complex countermovement jumping by means of a simple four-degrees-of-freedom model

Fritz

Peikenkamp

2010

Med Biol Eng Comput

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“…The submodel and its mechanical properties were described in detail by FRITZ and PEIKENKAMP (2001). it was used as a simple test instrument in the study of PEIKENKAMP et al (2002).…”

Section: Submodel Of Athletementioning

confidence: 99%

Simulation of the influence of sports surfaces on vertical ground reaction forces during landing

Fritz

Peikenkamp

2003

Med. Biol. Eng. Comput.

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In many biomechanical analyses, the vertical ground reaction force (GRF) is measured by force plates. However, if force plates are fixed on elastic surfaces, the force signals have low-frequency oscillations superimposed. The question arises, as to whether this oscillation results from the response of the athlete to the surface properties or from the fixation of the force plate on the elastic surface. For the simulation of the vertical GRF, a mechanical model was developed that combines three submodels representing the surface, the athlete and the force plate. The simulations were carried out for landings on concrete and wooden elastic surfaces, without and with the force plate, respectively. Comparison of the two surfaces showed that, on the elastic surface, the passive peak of the vertical GRF was lower and was reached later than on the concrete surface. Thus a lower force rate was possible during the landing on the elastic surface (concrete: 186 body weight per second; wooden: 164 body weight per second), which can reduce the risk of damaging the joint cartilage. The simulations also showed that the time course of the GRF was changed by a rippling effect when the force plate was fixed on the elastic surface. The rippling was not the result of a change in the athlete's movements, because the parameters of the athlete submodel were not changed. The rippling induced by the force plate hinders the analysis of the GRF time course involving the real peak force and the force rate.

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“…A simple approach used for 2D and skeletal models is to represent body segments as separated masses connected with dampers and springs that represent the action of muscles, tendons, and ligaments. 22 Extensive literature has explored the representation of the human body with a different number of segments (i.e. body parts) and various types of actuators (i.e.…”

Section: Introductionmentioning

confidence: 99%

Optimization-based subject-specific planar human vertical jumping prediction: Model development and validation

Baus

Harry

Yang

2021

Proc Inst Mech Eng H

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Jumping biomechanics may differ between individuals participating in various sports. Jumping motion can be divided into different phases for research purposes when seeking to understand performance, injury risk, or both. Experimental-based methods are used to study different jumping situations for their capabilities of testing other conditions intended to improve performance or further prevent injuries. External loading training is commonly used to simulate jumping performance improvement. This paper presents the optimization-based subject-specific planar human vertical jumping to develop the prediction model with and without a weighted vest and validate it through experiments. The skeletal model replicates the human motion for jumping (weighting, unweighting, breaking, propulsion) in the sagittal plane considering four different loading conditions (0% and 10% body mass): unloaded, split-loaded, front-loaded, and back-loaded. The multi-objective optimization problem is solved using MATLAB® with 35 design variables and 197 nonlinear constraints. Results show that the model is computationally efficient, and the predicted jumping motion matches the experimental data trend. The simulation model can predict vertical jumping motion and can test the effect of different loading conditions with weighted vests and arm-swing strategy on the ground reaction forces. This work is novel in the sense that it can predict ground reaction forces, joints angles, and center of mass position without any experimental data.

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Simulating the Impact During Human Jumping by Means of a 4-Degrees-of-Freedom Model With Time-Dependent Properties

Cited by 8 publications

References 8 publications

Simulation of the complex countermovement jumping by means of a simple four-degrees-of-freedom model

Simulation of the complex countermovement jumping by means of a simple four-degrees-of-freedom model

Simulation of the influence of sports surfaces on vertical ground reaction forces during landing

Optimization-based subject-specific planar human vertical jumping prediction: Model development and validation

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