Relevant bibliographies by topics / Jumping – Long jump – Biomechanical analysis

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Academic literature on the topic 'Jumping – Long jump – Biomechanical analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "Jumping – Long jump – Biomechanical analysis"

1

WU, WEN-LAN, JIA-HROUNG WU, HWAI-TING LIN, and GWO-JAW WANG. "BIOMECHANICAL ANALYSIS OF THE STANDING LONG JUMP." Biomedical Engineering: Applications, Basis and Communications 15, no. 05 (October 25, 2003): 186–92. http://dx.doi.org/10.4015/s1016237203000286.

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The purposes of the present study were to (1) investigate the effects of the arm movement and initial knee joint angle employed in standing long jump by the ground reaction force analysis and three-dimensional motion analysis; and (2) investigate how the jump performance of the female gender related to the body configuration. Thirty-four healthy adult females performed standing long jump on a force platform with full effort. Body segment and joint angles were analyzed by three-dimensional motion analysis system. Using kinetic and kinematic data, the trajectories on mass center of body, knee joint angle, magnitude of peak takeoff force, and impulse generation in preparing phase were calculated. Average standing long jump performances with free arm motion were +1.5 times above performance with restricted arm motion in both knee initial angles. The performances with knee 90° initial flexion were +1.2 times above performance with knee 45° initial flexion in free and restricted arm motions. Judging by trajectories of the center mass of body (COM), free arm motion improves jump distance by anterior displacement of the COM in starting position. The takeoff velocity with 90° knee initial angle was as much as 11% higher than in with 45° knee initial angle. However, the takeoff angles on the COM trajectory showed no significant differences between each other. It was found that starting jump from 90° bend knee relatively extended the time that the force is applied by the leg muscles. To compare the body configurations and the jumping scores, there were no significant correlations between jump scores and anthropometry data. The greater muscle mass or longer leg did not correlated well with the superior jumping performance.
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Asadi, Abbas. "Relationship Between Jumping Ability, Agility and Sprint Performance of Elite Young Basketball Players: A Field-Test Approach." Brazilian Journal of Kinanthropometry and Human Performance 18, no. 2 (May 23, 2016): 177. http://dx.doi.org/10.5007/1980-0037.2016v18n2p177.

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DOI: http://dx.doi.org/10.5007/1980-0037.2016v18n2p177 The purpose of this study was to determine the relationships between sprint, agility and jump performance of elite young basketball players. Sixteen elite national level young male basketball players participated in this study. The jumping ability of each player was determined using countermovement jump (CMJ), and broad long jump (BLJ). The agility T test (TT) and Illinois agility test (IAT) were assessed to determine the agility, and 20-m sprint time was also measured to determine sprint performance. The results of Pearson Product Moment Correlation analysis indicated moderate correlation between training age and IAT (r = -0.57; p = 0.021). Strong correlations were found between CMJ and BLJ (r = 0.71; p = 0.002), and between TT and IAT (r = 0.70; p = 0.002). Similarly, 20-m sprint time was strong correlated with CMJ (r = -0.61; p = 0.011), BLJ (r = -0.76; p = 0.001), TT (r = 0.77; p = 0.001), and IAT (r = 0.68; p = 0.003). In addition, CMJ was strongly correlated with TT (r = -0.60; p = 0.013), and IAT (r = -0.64; p = 0.007), and also strong correlation between BLJ with TT (r = -0.85; p = 0.001) and IAT (r = -0.76; p = 0.001). The findings of the present study indicated significant correlation between sprint and agility, jumping ability and sprint performance and between jumping ability and agility performance in basketball players. Therefore, the results suggest that sprint, agility and jumping ability share common physiological and biomechanical determinants.
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Vazini Taher, Amir, Ratko Pavlović, Shahram Ahanjan, Iryna Skrypchenko, and Marko Joksimović. "Effects of vertical and horizontal plyometric exercises on explosive capacity and kinetic variables in professional long jump athletes." Pedagogy of Physical Culture and Sports 25, no. 2 (April 30, 2021): 108–13. http://dx.doi.org/10.15561/26649837.2021.0205.

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Background and Study Aim. Athletic jumps are specific cyclically-acyclic movements that despite the good performance of the techniques require from competitors a high level of motor, specific-motor and functional abilities. The aim of this study was to examine the response effect of vertical and horizontal plyometric training on explosive capacity and kinetic variables in long jump athletes. Material and Methods. The participants of this study were twenty professional jumpers (22.5 ± 4.2 years; 178.4 ± 9.8 cm; 70.3 ± 7.6 kg) who were divided into two groups: experimental (plyometric training) and control (standard training). They participated in the last track and field championship in country, moreover, three of them participated in the last Asian games, and one athlete participated in the world track and field championship. The experiments were conducted on June-July 2019 in twenty professional athletes. All tests were performed after a standard warm up protocol. The place of camera was always determined wisely around the jumping field to attain best photography. Organizing and controlling the imaging and motor analysis processes were done by a biomechanics expert. Results. Post training results in experimental group showed more improvement in 30 m sprint, vertical jump, horizontal velocity at take-off, and long jump completion, comparing the control group. Significant between group differences in all variables were detected post training. No significant post training improvements in flight time and take off duration were reported in control group. Conclusion. Vertical and horizontal plyometric training protocol was shown to be more effective in promoting improvement in explosive capacity than kinetic variables.
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Liu, Pei Hua, Yun Bo Zhang, and Xiao Dong Liang. "Biomechanical Study on Take-Off Technique of Junior Male Long Jumpers." Advanced Materials Research 791-793 (September 2013): 1301–4. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.1301.

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The take-off is the most difficult key technique stage of long jump. The related specifications of take-off directly affect long jumper performance. In this paper, biomechanics study method was used to analyse the factors of take-off such as the last two steps step length and pace, the landing angle, the pedal angle, the take-off sector-shaped angle, the jumping initial velocity and the jumping angle, etc, and the main influencing factors of take-off were decided, to seize these factors in the training will contribute to long jump level improvement.
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5

Zhou, Huiyu, Datao Xu, Chaoyi Chen, Ukadike Chris Ugbolue, Julien S. Baker, and Yaodong Gu. "Analysis of Different Stop-Jumping Strategies on the Biomechanical Changes in the Lower Limbs." Applied Sciences 11, no. 10 (May 19, 2021): 4633. http://dx.doi.org/10.3390/app11104633.

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The stop-jumping task is one of the most important technical actions in basketball. A previous study showed 70% probability of non-contact ACL injuries during stop-jumping tasks. Therefore, the present study aimed to investigate the differences in lower extremity biomechanical changes between the rear foot as the initial contact area to terminate the jump (SJR) and the fore foot as the initial contact area to also terminate the jump (SJF) during the horizontal landing during a stop-jumping phase. In total, 25 male amateur Ningbo University basketball athletes from China were recruited for this study. The participants were asked to jump vertically by using two different stop-jumping strategies. Kinematic and kinetics data were amassed during a stop-jumping task. Statistical parametric mapping (SPM) analysis was used to find the differences between SJR and SJF. Our results indicated that the change of different ankle range of motion caused significantly different values for knee angle (p < 0.001), velocity (p = 0.003) (p = 0.023) (p < 0.001), moment (p = 0.04) (p < 0.001), (p = 0.036) and power (p = 0.015) (p < 0.001) during the stop-jumping phase and the horizontal landing phase. The same biomechanical parameters of the hip joint were also significantly different for hip angle (p < 0.001), moment (p = 0.012) (p < 0.001) (p < 0.001), and power (p = 0.01) (p < 0.001) (p < 0.001). These findings indicate that altering the primary contact at the ankle angle might effectively reduce the risk of a knee injury.
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Struzik, Artur, Bogdan Pietraszewski, and Jerzy Zawadzki. "Biomechanical Analysis of the Jump Shot in Basketball." Journal of Human Kinetics 42, no. 1 (October 1, 2014): 73–79. http://dx.doi.org/10.2478/hukin-2014-0062.

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Abstract Basketball players usually score points during the game using the jump shot. For this reason, the jump shot is considered to be the most important element of technique in basketball and requires a high level of performance. The aim of this study was to compare the biomechanical characteristics of the lower limbs during a jump shot without the ball and a countermovement jump without an arm swing. The differences between variables provide information about the potential that an athlete can utilise during a game when performing a jump shot. The study was conducted among 20 second-league basketball players by means of a Kistler force plate and the BTS SMART system for motion analysis. The variables measured included the take-off time, mean power, peak power, relative mean power, jump height, maximum landing force and calculated impact ratio. Surprisingly, more advantageous variables were found for the jump shot. This finding suggests a very high performance level in the jump shot in the studied group and a maximum utilisation of their motor abilities. Both types of jumps were characterised by high mean and peak power values and average heights. The high forces at landing, which result in considerable impact ratios, may have prompted the studied group to land softly. Use of the countermovement jump without an arm swing is recommended to assess and predict the progression of player’s jumping ability
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7

Shi, Peng Fei. "Long Jump Motion Analysis Based on the Aerodynamics." Advanced Materials Research 791-793 (September 2013): 1441–44. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.1441.

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The long jump motion is a traditional track and field event. This sport is not only relevant with athletes congenital physical conditions, but also with the action skills in the long jump process. In the process of long jump, from the run-up to the take-off and landing, relatively large air resistance will be suffered, and the air resistance is affected by the size of the take-off speed and jumping height. Based on this, this article has carried on the detailed analysis of the air dynamic theory in the process of athletes long jump. It also has established the mathematical model of the friction resistance and air pressure resistance in the long jump process, and it has obtained the maximum incident angle when the maximum jump distance was happened by the take-off angle. Finally, through the experiment method, it has established the jumping speed loss curve and loss table under the air resistance effect, and obtained the incident angle and take-off speed in the long jump process, which provides the theory basis for the research of long jump motion.
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8

Bayraktar, Işik, Murat Çilli, and Tuncay Örs. "Prediction of Jumping Distance Using Run-Up Velocity and Age for Female Long Jumpers." Pakistan Journal of Medical and Health Sciences 15, no. 8 (August 30, 2021): 2324–28. http://dx.doi.org/10.53350/pjmhs211582324.

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It is the flight distance which is approximately ninety percent of jump distance in long jump. On the other hand, there are many biomechanical factors that determine the flight distance and horizontal velocity is considered to be the most effective factor. The aim of this study was to create a jump distance estimation model based on run-up velocity that can practically be used by trainers. The research data was included 858 valid trials of 156 female Turkish long jumpers (ages: 17.8±3.4 years). According to the correlation results of the current study; a nonlinear regression model was used between the variables found to have the highest correlation (age, last 10 meter run-up velocity, jump distance). According to this model, 79.10% of the jump distance can be estimated with the variables of age and run-up velocity in the last ten meters. Developed to be used for female long jumpers at a broad performance level, this model may make it possible to make technical evaluations about whether the velocity, technique and strength of a female long jumper are stable. Keywords: long jump, velocity, age, prediction model
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9

Chen, Yong. "Jumping Mechanism Analysis of the Humanoid Robot." Applied Mechanics and Materials 29-32 (August 2010): 1562–66. http://dx.doi.org/10.4028/www.scientific.net/amm.29-32.1562.

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The jumping procedure of the human in the standing long jump was captured with a high-speed video camera. The geometrical configurations and motion postures of the human during jumping were analyzed from the high-speed photographs. By biological observation, the human jump was divided into stance phase, flight phase and land phase. The dynamic model of the humanoid jumping robot was established by the technology of virtual prototype. The joint angles of the robot during jumping were analyzed. The results would provide some theoretical and practical references for the biomimetic design to improve the reasonable motion of the humanoid jumping robot. This work may provide the basic theory in developing humanoid jumping robot in structural design. Besides, it provides an important reference to study the other bionic robots.
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10

Liu, Bin. "Biomechanics Simulation of Volleyball Player in Jumping Spike." Advanced Materials Research 468-471 (February 2012): 38–41. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.38.

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Sports biomechanics is able to identify the variables that aim to define some or all aspects of a performance and then provide useful information for teachers or coaches to improve players' performance. The purpose of the study was to identify the crucial variables that contribute to a successful volleyball spike jump performance by using biomechanical analysis, in order to help teachers improve the jump performance of their students, these investigations allow teachers to observe student performance more systematically and also help them provide the right information at the right time and in an easily understood format.
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Dissertations / Theses on the topic "Jumping – Long jump – Biomechanical analysis"

1

Chang, Wu-Chin, and 張武進. "The biomechanical analysis of standing long jump on school children." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/fcn7ha.

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碩士
國立臺灣師範大學
體育學系在職進修碩士班
97
The purpose of this study was to investigate the difference between high-performance and normal-performance children standing long jump performance via analyzed kinematic and kinetic data. Sixteen male elementary school children (grade 5) were selected as the subjects and equally separated into two groups. The VICON Motion Capture systems MX-13+ (250 Hz) and the KISTLER force plate (1250Hz) were used to collect the kinetic and kinematic data during standing-long-jump. The selected variables were tested by non-parameter Mann - Whitney U test. The results indicated that the jumping distance and the height variation of CM were significant difference (p< .05). The velocity and level velocity of CM were reach significant difference on initial jumping phase (p< .05). The level impulse and velocity of CM, shoulder joint, elbow, hip joint and knee joint were reach significant difference during propel and takeoff phase (p< .05).
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2

Liao, Jian-Yao, and 廖建堯. "Biomechanical Analysis of Three Types of Arms Swing Standing Long Jump." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/49903572438828004043.

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碩士
國立臺灣師範大學
體育學系
103
The purpose of this study was to investigate the biomechanical differences among different types of arms swing, including chest out arms swing, arms swing back &; forth, and arms akimbo standing long jumps. Eight male college Taekwondo athletes served as the participants of this study. Ten Vicon MX-13+ (200Hz) infrared cameras and a Kistler 9281 (1000Hz) force plate were simultaneously used to collect the kinematics and the kinetics data of the three type movements. The Friedman two-way analysis of variance by ranks nonparametric statistical test was applied to compare the biomechanical parameters among the three types of standing long jump. Post-hoc comparison was applied while the statistical significance was attained (α= .05). The results showed that both of the chest out arms swing and the arms swing back &; forth displayed greater performance significantly than arms akimbo as regards the following parameters: long jump distance, downward movement duration time, COM vertical displacement, maximum horizontal GRF and maximum rate of force development at the propulsive stage, COM horizontal initial velocity at the takeoff, the angles of hip joint, knees joints at takeoff. Moreover, the three types of movement were found to differ significantly from one another in horizontal impulse. The results of the study showed that the greater horizontal impulse generated the faster horizontal velocity. Since the long jump of the chest out arms swing was better than arm swing back and forth and arms Akimbo movement. We recommend that the athlete could learn chest out arms swing standing long jump in the test.
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Wu, Chih-chun, and 吳志君. "Biomechanical Analysis of Schoolchild Different Knee Joint in Advance Squatting Angle on Standing Long Jump." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/50148006210971972900.

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碩士
國立臺北教育大學
體育學系碩士班
97
The purpose of this study is by different knee joint in advance squatting angle（ 80、90、100、110、120 ）as experiment control variable, to analyze the kinematic and kinetic parameters during standing long jump. Eight male sixth-grade students（The mean height, mass and age were 153.39±8.56cm, 48.37±15.24 kg and 12.33±0.50 years）served as the subjects for this study. The experiment used an electronic joint angle gauge（1000Hz）, a Mega high-speed camera（100Hz）to capture 2D sagittal plane images along and an ATMI force plate（1000Hz）simultaneously capturing the biomechanical parameters of standing long jump. Kinematical parameters are filmed through the camera, then the obtain film undergoes human limb sections of parameter organization system, Direct Linear Transformation and filter by the Kwon3D movement analysis software, in order to obtain the parameters such as hip, knee, ankle of joint angle and velocity. The original signal from the force plate, processed by DASYLab 6.0 software to low-pass filtering（10Hz）and calibrate modular, calculates the original ground reaction force. Body weight（B.W）is used as the basis for standardization to obtain ground reaction force values and impulse values. The resulting data undergoes one-way ANOVA via SPSS 12.0 statistics software, The level of significance for this experiment is set to α=.05. When significant differences, use LSD to comparison. Result :When the knee joint in advance squatting angle 80 ~120 degree standing long jumps, the knee joint squatting angle will be in advance closer 80 degrees to have the big horizontal impulse (.1122B.W-s), the vertical impulse (.3363B.W-s), and the long jump displacement (126.13cm). Conclusion: The knee joint squatting angle will be in advance closer 80 degrees to have the big impulse. Suggested that the schoolchildren regarding need the good standing long jump result, the knee joint squatting angle pick 80 degrees suitably in advance.
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Books on the topic "Jumping – Long jump – Biomechanical analysis"

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Hicks, Douglas Michael. Comparative cinematographic analysis of depth jumping and long jump take-off as performed by male college long jumpers. 1986.

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2

A biomechanical analysis of the jump of institutionalized individuals with Down's Syndrome: A longitudinal and cross-sectional study. 1986.

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A biomechanical analysis of the jump of institutionalized individuals with Down's Syndrome: A longitudinal and cross-sectional study. 1986.

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A biomechanical analysis of the single arm versus the parallel double arm takeoffs in the triple jump. 1990.

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A biomechanical analysis of the single arm versus the parallel double arm takeoffs in the triple jump. 1987.

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A biomechanical analysis of the single arm versus the parallel double arm takeoffs in the triple jump. 1990.

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A biomechanical analysis of the single arm versus the parallel double arm takeoffs in the triple jump. 1990.

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Book chapters on the topic "Jumping – Long jump – Biomechanical analysis"

1

Shalan, Mohammad Ali. "Risk and Governance Considerations in Cloud Era." In Handbook of Research on End-to-End Cloud Computing Architecture Design, 376–409. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0759-8.ch016.

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Cloud Computing (CC) has recently emerged as a compelling paradigm for managing and delivering computing services over the internet. It is rapidly changing the landscape of technology and ultimately turning the long-held promise of utility computing into a reality. Nevertheless, jumping into the cloud is never a trivial task. A special approach is required to discover and mitigate risks, also to apply controls related to the cloud jump. The main objective of this chapter is to specify some of the phenomena associated with the CC paradigm and associated business transformation. It looks at the motivations, contracting, obstacles and the agile project rollout methodologies. It then provides an in-depth analysis for the allied risks and governance directions. CC governance is being more crucial as the CC paradigm is still evolving. In this context, this chapter build few bricks toward a full Cloud Computing Risk and Governance Framework (CCRGF).
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Conference papers on the topic "Jumping – Long jump – Biomechanical analysis"

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Li, Baozhai, Xue Ding, and Xincheng Shi. "The 3D Jumping Technical Analysis of Long Jump Athletes Based on the Statistics." In 2nd International Conference on Management Science and Industrial Engineering (MSIE 2013). Paris, France: Atlantis Press, 2013. http://dx.doi.org/10.2991/msie-13.2013.87.

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Panoutsakopoulos, Vassilios, Apostolos Theodorou, Efstratios Fragkoulis, and Mariana C. Kotzamanidou. "Biomechanical analysis of the late approach and the take off in the indoor women’s long jump." In Journal of Human Sport and Exercise - 2021 - Winter Conferences of Sports Science. Universidad de Alicante, 2021. http://dx.doi.org/10.14198/jhse.2021.16.proc3.44.

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