WEIGHT LIFTING TECHNOLOGY BIOMECHANICS RAPID FEED BACK SYSTEM STUDY

Weightlifting is one of the important part of the Olympic. For a variety of reasons, the coach is by observation and experience qualitative methods on, the athletes technical action guide to further reveal the characteristics of technical action. The hope to be able to the test the qualitative and quantitative test of real combination more looking forward to the kinematics and dynamics of the key indicators. So after consulting a large number of literature and coaches discussion, we make the sports biomechanics research weight lifting technology rapid diagnosis system, the use of 3rd load station acquisition lower limb legal date, combining synchronous acquisition. Barbell center kinematics parameters to rapid analysis weightlifting action techniques. Help improve weightlifting athletes technical effect

KINEMATICAL ANALYSIS OF DISMOUNT OF STRAIGHT BACK SOMERSAULT WITH A TURN OF 900° : A CASE STUDY

The techniques of dismount of straight back somersault with a turn of 900° performed by Tan Sixin (winner of all-round of China's gymnastics championships in 2011) and Jiang Yuyuan(winner of champion of the balance beam of World University Games in 2009) was filmed using 3-D camera method. The kinematics data were collected and analyzed by motion performance analysis system. The conclusions came out that overall execution of Tan Sixin was good, while the action of Jiang Yuyuan needed to be improved. The results of the analysis will provide a theoretical basis of balance beam training for athletics and trainer

Evaluation of physical fitness and health of young children aged between 3 and 6 based on cluster and factor analyses

Abstract Background As life improves and sedentary time increases, young children's physical fitness gradually declines. Methods Multi-stage stratified whole cluster sampling was utilized to sample 5584 preschoolers. Young infants' morphology, function, and quality were revealed using cluster and factor analysis. Results The cluster analysis separated 3–6-year-olds into two genders: 1,551 men in group A "high physical fitness" 1,499 men in group B "low physical fitness"; 1,213 women in group A and 1,321 women in group B. Young children's fitness was measured by standing long jump(1.00), weight(1.00), and height(1.00). A cluster analysis of 3–4-year-olds classified them into three groups: 272 “muscular strength,” 75 “average physical fitness,” and 250 “low agility.” Young children's health depends on weight (1.00), height (0.57), and chest circumference (0.54). A cluster analysis of the 4–5-year-olds classified them into two groups: 1070 “balance” and 806 “muscular strength.” Young children’s health depends on weight (1.00), height (0.74), and chest circumference (0.71). A cluster analysis of the 5–6-year-olds divided them into three groups: 1762 “high physical fitness,” 384 “obese,” and 105 “low physical fitness.” Young children’s physical health depends on BMI (1.00), weight (1.00), and chest circumference (1.00). Factor analysis demonstrated that muscle strength, body shape, cardiovascular variables, and physical fitness composite components affected young children's health. Conclusion Women should focus on motor function and strength, while men on flexibility. Male group B “low physical fitness” should focus on strength, motor function, and balance, whereas male group A “high physical fitness” should focus on flexibility. Then, female group A “high physical fitness” should emphasize variety.2) For 3–4-year-olds, group A “muscular strength” should focus on flexibility, and group C “low agility” on motor function. 3) For 4–5-year-olds, group A “balanced” should focus on strength and motor function; 4) For 5–6-year-olds, group B “obese” should emphasize weight loss, and group C “low fitness” should emphasize strength, motor function, and flexibility; 5) Young children’s physical fitness depends on muscle strength, body shape, cardiovascular factors, and physical fitness composite

Additional file 1 of Evaluation of physical fitness and health of young children aged between 3 and 6 based on cluster and factor analyses

Additional file 1