DocumentCode :
2170126
Title :
Move Prediction in Start Kicking of Sepak Takraw Game Using Dempster-Shafer Theory
Author :
Maseleno, Andino ; Hasan, Md Maodudul
Author_Institution :
Comput. Sci. Program, Univ. Brunei Darussalam, Bandar Seri Begawan, Brunei
fYear :
2012
fDate :
26-28 Nov. 2012
Firstpage :
376
Lastpage :
381
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 element in a set, providing a convenient and simple mechanism for combining two or more pieces of evidence under certain conditions, it can model ignorance explicitly, moreover rejection of the law of additivity for belief in disjoint propositions.
Keywords :
belief maintenance; biomechanics; inference mechanisms; sport; Dempster-Shafer theory; acrobatic twist; additivity law; agile human body movement; bicycle kick; disjoint proposition; highly complex net-barrier kicking sport; model information; move prediction; physical move; quick reflex; scissor kick; sepak takraw game; shearing movement; start kicking; Dempster-Shafer theory; bicycle kick; move prediction; sepak takraw;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Science Applications and Technologies (ACSAT), 2012 International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-5832-3
Type :
conf
DOI :
10.1109/ACSAT.2012.8
Filename :
6516384
Link To Document :
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