SNATCH TECHNIQUE VALIDATION USING COMPUTATIONAL METHODS: A GENETIC ALGORITHM APPROACH

Abstract

An analytical model based on a 6 degrees of freedom robotic manipulator is adopted to represent an individual athlete during weightlifting, snatch technique. The performance of an athlete is observed and the barbell trajectory of the lifter is considered as the lifting clue of our model. The inverse kinematics problem is solved using genetic algorithm. The results could be adopted in enhancing athletic performance through provision of an alternative weightlifting technique for the individual athlete. The performance of the athlete is compared with the generated motion. It is shown that the overall torque applied to the joints can be lessened by having the trunk horizontal angle constant during the first pull. The computational support of the technique is the main focus of the paper.