Implementation of Swimming Classes in the Physical Education System of Non-Profiled Universities and Their Impact on Student Bodies

Abstract

Purpose: to study the impact of swimming classes in a non-profiled university on the health potential and physical fitness of students. Methods and organization of research: standard methods of research of student health indicators, educational testing, questionnaire, expert assessment, observation, mathematical processing of research outcomes. The study involved 40 male students aged 18±1 years of the 1st and 2nd years of study of Kazan State University of Architecture and Civil Engineering, without health restrictions. The participants were divided into experimental and control groups with 20 people in each group. Research results and discussion. At the beginning of the first semester, we identified the indicators of cardiovascular, respiratory system and physical fitness of students. During next four semesters, students of the control group participated in practical classes on the traditional program of physical education for a major group of university students (twice a week for two hours). Students in the experimental group had one traditional class and one swimming class per week. At the end of the fourth semester, we reassessed previously studied indicators for the students in experimental and control groups and compared the outcomes. Conclusion. The research revealed that the implementation of swimming classes in physical education programs of non-profiled universities even in small volumes (once a week for 2 hours) result in the improvement of indicators of student health potential and physical fitness. In particular, the suggested training strategy provided the improvement of the following indicators: cardiovascular indicators according to the Ruthier test and orthostatic test by 18.4% and 21.3% respectively, respiratory indicators according to the Shtange and Genchi test – by 9.1% and 12.5%, physical fitness indicators for the sit-up exercise – by 22.8%, for the push-up exercise – by 15.6%.

Swimming Movement Guidance Training System Based on OpenCL Technology

“…Assuming that there are n different P points, according to the internal parameter matrix and distortion parameters obtained from camera calibration, as well as the object system coordinates ðx w , y w , z w Þ and image coordinates ðu, vÞ of N groups of P points, n groups of conversion formulas can be listed [10]. To solve the PnP problem, the relative pose of the object coordinate system ow and the camera coordinate system OE is determined from the conversion formula of n ð2 < n < 6Þ, that is, the external parameter matrices R and t. Solving the PnP problem can effectively solve the pose of objects based on a single image, avoiding the problem of determining the corresponding relationship between image points in the pose solution method based on multiple images [11]. PnP (Perspective-n-Point) is a method for solving 3D to 2D point-to-point motion.…”