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Research on Track and Field Teaching and Training Based on Computer-Aided Analysis
Author(s) -
LU Chang-chun
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1802/3/032041
Subject(s) - kinematics , process (computing) , takeoff , grasp , sports biomechanics , computer science , software , field (mathematics) , event (particle physics) , simulation , track and field athletics , track (disk drive) , training (meteorology) , athletes , engineering , software engineering , medicine , physics , physical therapy , mathematics , classical mechanics , quantum mechanics , meteorology , pure mathematics , programming language , aerospace engineering , operating system
At present, the primary method of sports biomechanics research in track and field events is to use a high-speed image analysis system to monitor the training process and obtain kinematics information through special or general analytical software. To improve the training efficiency and correct the defects of technical movements in time, coaches urgently need a kind of equipment that can feedback the movement information in time during the training. Because of this situation, a track and field training information acquisition and feedback system based on a digital track are proposed based on sufficient condensing project requirements. The system USES flexible array sensors obtain contact interaction information during the run-up, and USES special analytical software to process kinematic parameters in an integrated manner, providing real-time biomechanical parameters such as step length and speed step frequency, and takeoff force in the process of moving. The system realizes the comprehensive analysis of sports representation and internal mechanical factors, which helps coaches and athletes to deeply grasp the internal law of the project. Its effectiveness and scientificity have been preliminarily verified through the athletes’ testing in the national track and field team’s long jump event.

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