Study Regarding the Specific of Badminton Footwork, on Different Levels of Performance

Abstract

Achieving performance in badminton without developing an efficient footwork is Utopian, considering the dynamics of the game. The hypothesis of the study: we believe that badminton footwork is substantially different between each level of players' performance. The purpose of the study is to determinate the time required for players to move from the center of the court to the key points of defense in order to cover the full court and also to identify the main differences of how players move on the court regarding each level of performance. The main research methods used in the study are: bibliographical method, measurement and evaluation method, mathematical-statistical method and the graphical method. The study is realized with participation of 24 players, spanning 3 age groups and different performance levels in the national championship. The results of the study will help to research the construction of an innovative electronic device, designed to improve reaction times, speed and to help players learn the specific paths of the badminton court. The electronic device uses eight motion sensors in order to detect the players when they reach their action areas. Four sensors are placed in the corners of the half court (in badminton each player moves in his half court) and other four are placed in the middle of the courts' lines. Each sensor has a visual signal (a colored led) which is turned off when an obstacle (the players' body) reaches its action area. The device uses a microcontroller which commands the visual signals according to the difficulty of the selected program.

Skeleton Based Keyframe Detection Framework for Sports Action Analysis: Badminton Smash Case

“…Sports Action Recognition (SAR) is a challenging task used for various sports, including soccer, volleyball, basketball, tennis, and badminton [1,2,3,4]. SAR detects and recognizes actions during competitions, matches, warm-ups, and training sessions [5,6]. SAR-based applications have been extensively utilized by sports analysts and coaches to enhance athletes' performance.…”