scholarly journals Vertical Jump: Biomechanical Analysis and Simulation Study

10.5772/4887 ◽  
2007 ◽  
Author(s):  
Jan Babic ◽  
Jadran Lenarcic
Keyword(s):  
Simulation Study ◽  
Vertical Jump ◽  
Biomechanical Analysis

A biomechanical analysis of good and poor performers of the vertical jump

Ergonomics ◽  
2005 ◽  
Vol 48 (11-14) ◽  
pp. 1594-1603 ◽  
Author(s):  
Athanasios Vanezis ◽  
Adrian Lees
Keyword(s):  
Vertical Jump ◽  
Biomechanical Analysis

Biomechanical analysis of scapular neck malunion––a simulation study

2004 ◽  
Vol 19 (9) ◽  
pp. 906-912 ◽  
Author(s):  
E.K.J. Chadwick ◽  
A. van Noort ◽  
F.C.T. van der Helm
Keyword(s):  
Simulation Study ◽  
Biomechanical Analysis

scholarly journals A Simulation Study of the Effect of Arm Swing on Maximum Vertical Jump Performance

2004 ◽  
Vol 36 (Supplement) ◽  
pp. S346
Author(s):  
Zachary Domire ◽  
John H. Challis
Keyword(s):  
Simulation Study ◽  
Vertical Jump ◽  
Jump Performance ◽  
Arm Swing

Kinematic Analysis of Vertical Jump Performances Before and After Fatigue in Basketball Players

2021 ◽  
Vol 15 (7) ◽  
pp. 2226-2228
Author(s):  
Ahmet Atli ◽  
Ali Furkan Yarar
Keyword(s):  
Kinematic Analysis ◽  
Vertical Jump ◽  
Biomechanical Analysis ◽  
Jump Height ◽  
Basketball Players ◽  
Jump Performance ◽  
Joint Injury ◽  
Before And After ◽  
Parameter Values ◽  
Vertical Jumps

Background and Study Aim: This single group pre- and post-test study aimed to examine kinematic changes in vertical jump performances before and after fatigue in basketball players. Material and Method: Ten male university student (age 23.28±1.31 years, height 181.17±6.87 cm, body weight 74.53±9.27 kg) basketball players voluntarily participated in the study. Vertical jump test was performed twice, once before fatigue and again after fatigue, and jump measurements were recorded with 2 cameras capable of shooting 240 frames per second. The vertical jumps were measured using a Smart Speed device. The recorded measurements were analyzed using a biomechanical analysis program, and the results were analyzed statistically. Each participant performed 5 resting jumps on the jump mat after warm-up, and the highest height reached was determined as the jump height. Next, the protocol for inducing fatigue was initiated without a period of rest, and the participants were asked to sprint 6x10 m, following which vertical jumps were performed 5 times without any break. The maximum value of each parameter obtained from among the 5 vertical jumps was used for analysis. The protocol for inducing fatigue was followed until the post-fatigue vertical jump parameter values were below 70% of the maximum values recorded before fatigue. Pre- and post-fatigue jump parameter values were statistically analyzed using the paired samples t-test. Results and Conclusion: Statistically significant differences were observed in knee flexion angle measurements before and after fatigue as well as in jump height measurements before and after fatigue (p<0.05). Therefore, it is believed that fatigue may be associated with a risk of knee joint injury in basketball players. Keywords: Kinematic Analysis, Vertical Jump, Performance, Fatigue, Basketball Players

A Simulation Study of the Effect of Arm Swing on Maximum Vertical Jump Performance

2004 ◽  
Vol 36 (Supplement) ◽  
pp. S346
Author(s):  
Zachary Domire ◽  
John H. Challis
Keyword(s):  
Simulation Study ◽  
Vertical Jump ◽  
Jump Performance ◽  
Arm Swing

943 A BIOMECHANICAL ANALYSIS OF THE VERTICAL JUMP AND THREE MODIFIED PLYOMETRIC DEPTH JUMPS

1993 ◽  
Vol 25 (Supplement) ◽  
pp. S168
Author(s):  
W. R. Holcomb ◽  
J. E. Lander ◽  
R. M. Rutland ◽  
G. D. Wilson FACSM
Keyword(s):  
Vertical Jump ◽  
Biomechanical Analysis

A Comparative Biomechanical Analysis the Vertical Jump between Flatfoot and Normal Foot

2016 ◽  
Vol 28 ◽  
pp. 26-35 ◽  
Author(s):  
Feng Qin Fu ◽  
Sheng Wang ◽  
Yang Shu ◽  
Jian She Li ◽  
Sergey Popik ◽  
...  
Keyword(s):  
Contact Area ◽  
Peak Pressure ◽  
External Rotation ◽  
Vertical Jump ◽  
Self Regulation ◽  
Biomechanical Analysis ◽  
Vertical Jumping ◽  
The Difference ◽  
Analysis System ◽  
Future Work

Flatfoot has been one of the most common foot deformity, which gives rise to several malfunctions or disoders to the foot and lower extremity. Difference between flatfoot and normal foot mainly present in the middle foot, while few is known about the biomechanical difference under barefoot vertical jump. The objective of this study is to investigate the difference of flatfoot and normal foot while vertical jumping under barefoot condition. Twenty males (ten with flatfoot and ten with normal foot) volunteered to participate in this study. Foot morphology was measured with Easy-Foot-Scan. Foot kinetics and joint kinematics were obtained from EMED force platform and Vicon motion analysis system. Results showed that flatfoot group had a significantly larger peak pressure in the region of hallux and larger contact area of center forefoot than that of normal foot group, and larger contact area in medial midfoot. The flatfoot group presented larger plantarflexion and smaller external rotation to the ankle, and larger flexion and abduction and smaller external rotation to the knee than normal foot group during vertical jump. It can be concluded that people with flat-arched feet may have a poorer ability of self-regulation when facing a movement with rapid impact force like vertical jump, which will increase the risk of injuries. This information will be valuable for future work in structure, function and potential treatment of low arched feet.

The mechanisms that enable arm motion to enhance vertical jump performance—A simulation study

2008 ◽  
Vol 41 (9) ◽  
pp. 1847-1854 ◽  
Author(s):  
Kuangyou B. Cheng ◽  
Chih-Hung Wang ◽  
Hui-Chuan Chen ◽  
Chin-Dai Wu ◽  
Hung-Ta Chiu
Keyword(s):  
Simulation Study ◽  
Vertical Jump ◽  
Jump Performance ◽  
Arm Motion

scholarly journals Optimal coordination of maximal-effort horizontal and vertical jump motions – a computer simulation study

2007 ◽  
Vol 6 (1) ◽  
pp. 20 ◽  
Author(s):  
Akinori Nagano ◽  
Taku Komura ◽  
Senshi Fukashiro
Keyword(s):  
Computer Simulation ◽  
Simulation Study ◽  
Vertical Jump ◽  
Computer Simulation Study ◽  
Optimal Coordination ◽  
Maximal Effort
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