Biomechanical analysis of spiking skill in volleyball

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2017; 4(6): 15-19 P-ISSN: 2394-1685 E-ISSN: 2394-1693 Impact Factor (ISRA): 5.38 IJPESH 2017; 4(6): 15-19 2017 IJPESH www.kheljournal.com Received: 05-09-2017 Accepted: 06-10-2017 Harpreet Singh Assistant Professor, Punjabi University Constituent College, Ghudda, Bathinda, Punjab, India Dr. Darshan Singh Retired Professor, Govt. Mohindra College, Patiala, Punjab, India Biomechanical analysis of spiking skill in volleyball Harpreet Singh and Dr. Darshan Singh Abstract The aim of the study to find out the Biomechanical analysis of spiking skill in volleyball. In this research total Ten Inter-University level male volleyball players were randomly selected from north zone as subjects for the study. The separate data will collected as for all counter spikers. The subjects were explained about the objective of the study. Age of subjects ranging between 19 to 24 years. For this study ten variables selected, these variables are: angle of wrist joint, angle of elbow joint, angle of shoulder joint, angle of hip joint, angle of knee joint, angle of ankle joint, horizontal velocity of wrist joint, horizontal acceleration of wrist joint, vertical velocity of wrist joint and vertical acceleration of wrist joint. Motion capture technique was used in this study. The films were analyzed by using standard Quintic coaching v-17 software approved by Human kinetics. After collection of data Karl Pearson s product moment coefficient correlation statistical technique was used. In order to check the significance, level of significance was set at 0.01. The outcome of the study proved that the significant relationship were found in these variables: Angle of ankle joint, Horizontal velocity of wrist joint, Vertical velocity of wrist joint, Horizontal acceleration of wrist joint & Vertical acceleration of wrist joint and insignificant relationship were found in these variables: Angle of wrist joint, Angle of elbow joint, Angle of shoulder joint, Angle of hip joint & Angle of knee joint. Keywords: Kinematics, biomechanics, acceleration and velocity Correspondence Harpreet Singh Assistant Professor, Punjabi University Constituent College, Ghudda, Bathinda, Punjab, India Introduction Biomechanics can be defined as the science that examines forces acting upon and within a biological structure and effects produced by such forces. The biological structure in this context can be wide spread and covers systems of different levels: cells, tissue, joints, segments, the entire body or even a complex system consisting of several bodies or the human body in combination with the surroundings (water, air, equipment, floor etc.). Sport bio mechanists have also directed efforts at improving the technique components of athletic performance. They have learned, for example, that factors contributing to superior performance in the long jump, high jump and pole vault include large horizontal velocity going into take-off and a shortened last step that facilitates continued elevation of the totalbody centre of mass. Examples of well-known athletes easily display the importance of biomechanical technology in improving performance (Zahalka F et. al., 2017) [3]. Biomechanical principles are applied by scientists and professional in a number of fields in addressing problems related to human health and performance. Knowledge of basic biomechanical concepts is also essential for the competent physical education teacher, physical therapist, physician, coach, personal trainer or exercise instructor. An introductory course in biomechanics provides foundational understanding of mechanical principles and how they can be applied in analyzing movements of the human body. The knowledgeable human movement analyst should be able to answer many basic questions related to biomechanics like what are the mechanical principles behind variable resistance exercise machines. What is the safest way to lift a heavy object? Which movement is more/less economical? At what angle should a ball be thrown for maximum distance? From what distance and angle is it best to observe a patient walk down a ramp or a volleyball player execute a service? What strategies can an elderly person or a volleyball lineman employ to maximize stability? Kinematics is the study of bodies in motion without regard to the causes of the motion. It is concerned with the describing and quantifying both the linear and angular positions of the bodies and their time derivatives. Kinematics is the preferred analytical tool for researchers interested in questions such as, who is faster. What is the range of motion of a joint? ~ 15 ~

How do two motion patterns differ? Kinematic analysis may be an end in itself or an intermediate step that enables subsequent kinetic analysis. The most common method for collecting kinematic data uses an imaging or motion-caption system to record the motion of markers affixed to a moving subject, followed by manual or automatic digitizing to obtain the coordinates of the makers. These coordinates are then processed to obtain the kinematic variables that describe segmental or joint movements. Statement of the Problem Biomechanical analysis of spiking skill in volleyball. Hypotheses There will be a significant difference between the angle of wrist joint, angle of elbow joint, angle of shoulder joint, angle of hip joint, angle of knee joint, angle of ankle joint, horizontal velocity of wrist joint, horizontal acceleration of wrist joint, vertical velocity of wrist joint and vertical acceleration of wrist joint at time of spiking with the performance of player. Selection of Subjects Ten Inter-University level male volleyball players were randomly selected from north zone as subjects for the study. The separate data will collected as for all counter spikers. The subjects were undergoing training for a considerable period. Therefore it was ascertained that subjects possess reasonable level of technique. The subjects were explained about the objective of the study. Age of subjects ranging between 19 to 24 years. Selection of Variables 1. (WΦ) The angle of wrist joint at time of spiking 2. (EΦ) The angle of elbow joint at time of spiking. 3. (SΦ) The angle of shoulder joint at time of spiking. 4. (HΦ) The angle of hip joint at time of spiking. 5. (KΦ) The angle of knee joint at time of spiking. 6. (AΦ) The angle of ankle joint at time of spiking. 7. (WHv) The horizontal velocity of wrist joint during the 8. (WHa) The horizontal acceleration of wrist joint during the 9. (WVv) The vertical velocity of wrist joint during the 10. (WVa) The vertical acceleration of wrist joint during the Criterion Measure The criterion measure for this study was the performance of the Spikers. Total ten attempts will be given to each subject and the successful shots will be marked as single score out of ten. Filming Protocol Motion capture technique was used in this study. To recorded the video of the volleyball counter spiker, while they performing the technique, digital video camera (50 fps) was used by a professional photographer. After obtaining the recorded video, the video was analyzed through Quintic coaching v-17 software approved by Human kinetics. First video was digitized through Quintic coaching v-17 software. After the procedure of digitizing, the video was calibrated. The calibrated video gives us the results through makers, stroboscopic effect technique, stick figures, stopwatch programming, angle manual (horizontal, vertical, draw angles), linear and angular analysis manual etc. with the help of Quintic coaching v-17 software. Motion capture technique/digital videography was used to analysis the kinematic variables of male volleyball counter spiker. Digital video camera CASIO EX-FH 100 (50 fps) was used for videography of volleyball counter spiker performance. The performance of the subject was recorded with stroboscopic effect from approach to landing. Digital Video camera was placed 6 meter away at the side of the spikers (lateral axis). Analysis of Film and Collection of Data Motion capture technique was used in this study. The films were analyzed by using standard quintic coaching v-17 software approved by Human kinetics. Videos analyzed through strobed photo sequence / stroboscopic effect, stick figure analysis, Quick snap shots with the help of software for analysis of selected variables are presented below:- Statistical Procedure With regard to purpose of the study Karl Pearson s product moment coefficient correlation statistical technique was calculated between selected kinematical variables with performance of male counter spiker in volleyball. In order to check the significance, level of significance was set at 0.01. Results Table 1: Relationship between Angle of wrist joint with performance of counter spiker in volleyball 10 Angle of wrist joint 170.37 0.95-0.775 Table 1 represents that the mean value of angle of wrist joint of counter spiker in volleyball players was 170.37, whereas spiker in volleyball players was 0.95 respectively. At the time of calculation of relationship between Angle of ankle joint value was -0.775. The data does suggest that there is insignificant relationship between angle of wrist joint of Table 2: Relationship between Angle of elbow joint with performance of counter spiker in volleyball 10 Angle of elbow joint 174.46 0.91-0.850 ~ 16 ~

Table 2 represents that the mean value of angle of elbow joint of counter spiker in volleyball players was 174.46, whereas spiker in volleyball players was 0.91 respectively. At the time of calculation of relationship between Angle of elbow joint value was -0.850. The data does suggest that there is insignificant relationship between angle of elbow joint of Table 3: Relationship between Angle of shoulder joint with performance of counter spiker in volleyball 10 Angle of shoulder joint 164.36 7.10-0.737 Table 3 represents that the mean value of angle of shoulder joint of counter spiker in volleyball players was 164.36, whereas the standard deviation (SD) of angle of ankle joint of counter spiker in volleyball players was 7.10 respectively. At the time of calculation of relationship between Angle of shoulder joint with performance of counter spiker in volleyball players the r value was -0.737. The data does suggest that there is insignificant relationship between angle of shoulder joint of counter spiker in volleyball players with performance. Table 4: Relationship between Angle of hip joint with performance of counter spiker in volleyball 10 Angle of hip joint 160.34 0.64-0.733 Table 4 represents that the mean value of angle of hip joint of counter spiker in volleyball players was 160.34, whereas the standard deviation (SD) of angle of ankle joint of counter spiker in volleyball players was 0.64 respectively. At the time of calculation of relationship between Angle of hip joint with performance of counter spiker in volleyball players the r value was -0.733. The data does suggest that there is insignificant relationship between angle of hip joint of counter spiker in volleyball players with performance. Table 5: Relationship between Angle of knee joint with performance of counter spiker in volleyball 10 Angle of knee joint 157.94 1.13-0.635 Table 5 represents that the mean value of angle of knee joint of counter spiker in volleyball players was 157.94, whereas spiker in Volleyball players was 1.13 respectively. At the time of calculation of relationship between Angle of knee joint with performance of counter spiker in Volleyball players the r value was -0.635. The data does suggest that there is insignificant relationship between angle of knee joint of Table 6: Relationship between Angle of ankle joint with performance of counter spiker in volleyball 10 Angle Of Ankle Joint 122.47 0.03 0.849 Table 6 represents that the mean value of angle of knee joint of counter spiker in volleyball players was 157.94, whereas spiker in volleyball players was 1.13 respectively. At the time of calculation of relationship between Angle of knee joint value was -0.635. The data does suggest that there is significant relationship between angle of knee joint of counter spiker in volleyball players with performance. Table 7: Relationship between Horizontal velocity of wrist joint with performance of counter spiker in volleyball 10 Horizontal Velocity Of Wrist Joint 7.84 0.15 0.890 Table 7 represents that the mean value of Horizontal velocity velocity of wrist joint with performance of counter spiker in of wrist joint of counter spiker in volleyball players was 7.84, volleyball players the r value was 0.890. The data does whereas the standard deviation (SD) of angle of ankle joint of suggest that there is significant relationship between counter spiker in volleyball players was 0.15 respectively. At Horizontal velocity of wrist joint of counter spiker in the time of calculation of relationship between Horizontal volleyball players with performance. ~ 17 ~

Table 8: Relationship between Vertical velocity of wrist joint with performance of counter spiker in volleyball 10 Vertical velocity of wrist joint 7.91 0.09 0.882 Table 8 represents that the mean value of Vertical velocity of wrist joint of counter spiker in volleyball players was 7.91, whereas the standard deviation (SD) of angle of ankle joint of counter spiker in volleyball players was 0.09 respectively. At the time of calculation of relationship between Vertical velocity of wrist joint with performance of counter spiker in volleyball players the r value was 0.882. The data does suggest that there is significant relationship between Vertical velocity of wrist joint of counter spiker in volleyball players with performance. Table 9: Relationship between Horizontal acceleration of wrist joint with performance of counter spiker in volleyball 10 Horizontal Acceleration Of Wrist Joint 53.83 0.53 0.931 Table 9 represents that the mean value of Horizontal players was 53.83, whereas the standard deviation (SD) of angle of ankle joint of counter spiker in volleyball players was 0.53 respectively. At the time of calculation of relationship between Horizontal acceleration of wrist joint with performance of counter spiker in volleyball players the r value was 0.931. The data does suggest that there is significant relationship between Horizontal acceleration of wrist joint of Table 10: Relationship between Vertical acceleration of wrist joint with performance of counter spiker in volleyball 10 Vertical Acceleration of wrist joint 48.65 0.55 0.856 Table 10 represents that the mean value of Vertical players was 48.65, whereas the standard deviation (SD) of angle of ankle joint of counter spiker in volleyball players was 0.55 respectively. At the time of calculation of relationship between Vertical acceleration of wrist joint with performance of counter spiker in volleyball players the r value was 0.856. The data does suggest that there is significant relationship between Vertical acceleration of wrist joint of counter spiker in volleyball players with performance. Discussion of the findings Based on the statistical analysis of data following findings were drawn by the researcher: The result of the study revealed that there is significant relationship between Horizontal velocity of wrist joint, Vertical velocity of wrist joint, Horizontal acceleration of wrist joint, Horizontal acceleration of wrist joint and Vertical players with their performance. The result of the study revealed that insignificant relationship between angle of wrist joint, angle of elbow joint, angle of shoulder joint, angle of hip joint, angle of knee joint and angle of ankle joint of counter spiker in volleyball players with their performance. On the basis of analysis of the data, investigator found that the earlier study of S. Amritpal and Deol, N.S. (2010) [1]. Kinematic Analysis of Spikers of Volleyball, Eckenrode BJ et al. (2012) [4], Gymnastics, Jurkojc J, Michnik R and Czapla K (2017) [5] Mathematical modelling as a tool to assessment of loads in volleyball player's shoulder joint during spike, West T, Ng L and Campbell A. (2014) [6] The effect of ankle bracing on knee kinetics and kinematics during volleyball-specific tasks, Zahalka F et. al. (2017) [3] Kinematic Analysis of Volleyball Attack in the Net Center with Various Types of Take-Off. J Hum Kinet and Vaverka ~ 18 ~ F, Jandacka D, Zahradnik D, Uchytil J, Farana R, Supej M and Vodicar J. (2016) Effect of an Arm Swing on Countermovement Vertical Jump Performance in Elite Volleyball Players, supported the present study. Hypotheses There will be a significant difference between the angle of wrist joint, angle of elbow joint, angle of shoulder joint, angle of hip joint, angle of knee joint, angle of ankle joint, horizontal velocity of wrist joint, horizontal acceleration of wrist joint, vertical velocity of wrist joint and vertical acceleration of wrist joint at time of spiking with the performance of player. This hypothesis is partially accepted and partially rejected, this hypothesis is partially accepted in Horizontal velocity of wrist joint, Vertical velocity of wrist joint, Horizontal acceleration of wrist joint, Horizontal acceleration of wrist joint and Vertical acceleration of wrist joint variables and partially rejected in angle of wrist joint, angle of elbow joint, angle of shoulder joint, angle of hip joint, angle of knee joint and angle of ankle joint variables. References 1. Amritpal S, Deol NS. Kinematic Analysis of Spikers of Volleyball, Abstracts - 4th National Conference on Multidisciplinary Approach in Physical Education, University Patiala, 2010, 47. 2. Vaverka F, Jandacka D, Zahradnik D, Uchytil J, Farana R, Supej M et al. Effect of an Arm Swing on Countermovement Vertical Jump Performance in Elite Volleyball Players: FINAL. J Hum Kinet. 2016; 53:41-50. 3. Zahalka F, Maly T, Mala L, Ejem M, Zawartka M. Kinematic Analysis of Volleyball Attack in the Net Center with Various Types of Take-Off. J Hum Kinet. 2017; 58:261-271.

4. Eckenrode BJ. Gymnastics, The Japanese Journal of Physical Fitness. 2012; 6:52-57. 5. Jurkojc J, Michnik R, Czapla K. Mathematical modelling as a tool to assessment of loads in volleyball player's shoulder joint during spike. J Sports Sci. 2017; 35(12):1179-1186. 6. West T, Ng L, Campbell A. The effect of ankle bracing on knee kinetics and kinematics during volleyballspecific tasks. Scand J Med Sci Sports. 2014; 24(6):958-63. ~ 19 ~