Enhanced human hitting movement recognition using motion history image and approximated ellipse techniques

Recognition of human hitting movement in a more specific context of sports like boxing is still a hard task because the existing systems use manual observation which could be easily flawed and highly inaccurate. However, in this study, an attempt is made to present an automated system designed for t...

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Bibliographic Details

Main Authors:	Mas Diyasa, I Gede Susrama, Hanindia P, Made, Mohd Amirul Syafiq, Zamri, Agussalim, ., Sayyidah, Humairah, Septalian A, Denisa, Umam, Faikul
Format:	Article
Language:	en
Published:	Association for Scientific Computing Electronics and Engineering (ASCEE) 2025
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/44340/1/Enhanced%20human%20hitting%20movement%20recognition%20using%20motion%20history%20image.pdf http://umpir.ump.edu.my/id/eprint/44340/ https://doi.org/10.31763/ijrcs.v5i1.1599
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