Anom, Sri Reza Adji and Iskandar, Aulia Arif (2012) Kicking Ball Mechanism Analysis Using Quantitative Analysis Method. Bachelor thesis, Swiss German University.
|
Text
Sri Anom 1-4307-029 TOC.pdf Download (374kB) | Preview |
|
Text
Sri Anom 1-4307-029 1.pdf Restricted to Registered users only Download (136kB) |
||
Text
Sri Anom 1-4307-029 2.pdf Restricted to Registered users only Download (754kB) |
||
Text
Sri Anom 1-4307-029 3.pdf Restricted to Registered users only Download (555kB) |
||
Text
Sri Anom 1-4307-029 4.pdf Restricted to Registered users only Download (1MB) |
||
Text
Sri Anom 1-4307-029 5.pdf Restricted to Registered users only Download (134kB) |
||
|
Text
Sri Anom 1-4307-029 Ref.pdf Download (96kB) | Preview |
Abstract
Quality kicking technique is an important aspect for soccer player to improve the productivity of the player itself. This study will focus in quantitative analysis of kicking technique which angular velocity, acceleration and force of the thigh and leg as the parameters. The experiment was taken by kicking a ball with their own styles in three different target distances and captured by video camera. LabVIEW used to process the image and calculate the data. The good kicking technique can be seen by comparison between the highest activities that have been reached by each player. In this research, player 2 has best kicking technique which has ( Angular Velocity = 266.8 deg/s, Acceleration = 1.59 m/s 2, Force = 11.1 N) and the leg movement (Angular Velocity = 47.1 deg/s, Acceleration = 4.88 m/s 2, Force = 15.8). And player 5 has bad kicking technique which has thigh (Angular Velocity = 503.8 deg/s, Acceleration = 3.01 m/s 2, Force = 15.9 N) and leg (Angular Velocity = 364.2 deg/s, Acceleration = 6.39 m/s 2, Force = 15.7 N) which are greater than other players.
Item Type: | Thesis (Bachelor) |
---|---|
Uncontrolled Keywords: | Biomechanics; Kicking Ball Mechanism; Gait Analysis; Quantitative Analysis; Image Processing |
Subjects: | Q Science > QH Natural history > QH513 Biomechanics T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing |
Divisions: | Faculty of Life Sciences and Technology > Department of Biomedical Engineering |
Depositing User: | Astuti Kusumaningrum |
Date Deposited: | 18 Mar 2021 06:23 |
Last Modified: | 18 Mar 2021 06:23 |
URI: | http://repository.sgu.ac.id/id/eprint/1164 |
Actions (login required)
View Item |