Introducing an Image Processing Method for Evaluation of Clean and Jerk Style in Weightlifting using Mea {tag} {/tag} International Journal of Computer Applications Foundation of Computer Science (FCS), NY, USA Volume 180 - Number 46 Year of Publication: 2018 Authors: Mohammad Almasi 10.5120/ijca2018917191 {bibtex}2018917191.bib{/bibtex} Abstract Weightlifting is one of the high-medal sports in the Olympic Games. Although one of the most critical weaknesses of this sport is the lack of using new method of technology to improve the quality of player’s performance and also decline the referee mistakes. The aim of this paper is to use Image processing to figure out the clinical parameters to examine and measuring the angular kinematic and kinetic features of clean and jerk style in weightlifting. And using this approach for defining the standard pattern for distinguishing the difference between correct and wrong movements that can be used in talent identification. References 1. . "IWF Technical and Competition Rules" (PDF). International Weightlifting Federation. Retrieved 2017-01-10. 2. . Peter E.Jenkins, Atousa Plaseied, Morteza khodae. (2010). UCD Sports Engineering Program. Procedia Engineering 2. 2757–2762. 1 / 3