Lower Limb Motion Simulation And Biomechanical Study For Vertical Jumping Study

Vertical jump is the basis for many sports. Researching on it can help athletesimprove performance, also prevent some diseases and prolong the sports life ofathletes. Previous investigations are mainly from the aspects of kinematics anddynamics, focused on phase division, motion characteristics and momentum of majorjoint during a vertical jump. However, they often can’t accurately calculate theinternal force of human body or give an in-depth explanation of human verticaljumping’s mechanism. Therefore, how to use non-invasive methods to do research onbiomechanics of vertical jump is of great significance.This paper aims to establish personalized human musculoskeletal system modelfor subjects. Vertical jumping of human lower limb was investigated. Subjects’ plantarpressure, joint angle, and joint load changes were calculated. The movementcharacteristics of vertical jump were analyzed, And the factors affected vertical jumpability were studied from the three aspects, i.e. kinematics, dynamics, inversedynamics.To simulate vertical jump movement, firstly, conduct the vertical jumpexperiment.5healthy male college students between24and26years old wereselected. Synchronous tests were performed using Quintic3D motion capture systemand AMTI force measuring system: Subjects jumped vertically on the AMTI testingplatform as required. The data of every point’s pressure on plantar were obtainedthrough sensing device on testing platform. Human motion parameters (displacementof X/Y/Z direction, velocity, acceleration, etc.) of the marker points weresynchronously acquired by Quintic motion capture system when subjects verticallyjumping. Secondly, carry out vertical jump motion simulation: to further investigatesubject’s biomechanical characteristics during vertical jumping, individualized musculoskeletal system model was established in AnyBody Modeling Systemaccording to each subject’s height, weight and limb length of every body part. Theplantar pressure environment was set and3D motion data were imported to drive themodel to simulate the subject’s vertical jump. The subject’s mainly joints load andother parameters during vertical jump were calculated. Biomechanical characteristicsof vertical jump were analyzed. Finally, each subject’s vertical jump ability wasevaluated by selecting some indicators. Direct indicators include: centroid speed,lower limb joint angles and joint angular velocity, lower extremity joint torques,plantar pressure, etc. Indirect indicators include: rising height, peak velocity, and jointbuffer margin. Factors influncing vertical jump height, as well as how the jumpsinking influencing explosive power of lower limb were analyzed using theseindicators.The results show that individualized musculoskeletal model developed in thisstudy can simulate vertical jump action and can reflect the vertical jump duringtake-off, flying and landing. This method can quickly and easily obtain kinematicsindicators, dynamics indicators, inverse dynamics indicators, and it has certainsignificance for deeply understanding and improving technology of vertical jump.