Dempster-Shafer Theory for Move Prediction in Start Kicking of The Bicycle Kick of Sepak Takraw Game
Andino Maseleno, Md. Mahmud Hasan

TL;DR
This paper applies Dempster-Shafer theory to predict move initiation in sepak takraw's bicycle kick, addressing uncertainty in player actions with a flexible evidence combination framework.
Contribution
It introduces a novel application of Dempster-Shafer theory for move prediction in sepak takraw, handling uncertainty explicitly in complex athletic movements.
Findings
Effective modeling of uncertainty in move prediction
Improved prediction accuracy over traditional methods
Flexible evidence combination demonstrated
Abstract
This paper presents Dempster-Shafer theory for move prediction in start kicking of the bicycle kick of sepak takraw game. Sepak takraw is a highly complex net-barrier kicking sport that involves dazzling displays of quick reflexes, acrobatic twists, turns and swerves of the agile human body movement. A Bicycle kick or Scissor kick is a physical move made by throwing the body up into the air, making a shearing movement with the legs to get one leg in front of the other without holding on to the ground. Specifically, this paper considers bicycle kick of sepak takraw game in start kicking of the ball with uncertainty where player has different awareness regarding the contingencies. We have chosen Dempster-Shafer theory because the advantages of the Dempster-Shafer theory which include the ability to model information in a flexible way without requiring a probability to be assigned to each…
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Taxonomy
TopicsSports Analytics and Performance · Artificial Intelligence in Games · Time Series Analysis and Forecasting
