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Recognition of offensive techniques in martial arts: a systematic mapping study

Reconocimiento de técnicas ofensivas en artes marciales: un mapeo sistemático

dc.contributor.authorCristobal Franco, Jairo Josué
dc.contributor.authorAguileta Gümez, Antonio
dc.contributor.authorMoo Mena, Francisco
dc.contributor.authorReyes Magaña, Jorge Carlos
dc.date.accessioned2024-11-01T13:48:28Z
dc.date.available2024-11-01T13:48:28Z
dc.date.created2024-05-10
dc.identifier.issn1692-3324
dc.identifier.urihttp://hdl.handle.net/11407/8631
dc.descriptionMotivation: The precise identification of punches and kicks in martial arts sporting competitions is a critical issue, often complex, and at times subject to controversies due to the subjective judgment of referees. Problem: The subjectivity in assessing punches and kicks during martial arts Sporting competitions poses a significant challenge regarding impartiality and accuracy in refereeing. Solution Approach: This study analyzes the most recent contributions to punch and kick recognition in martial arts competitions. It reviews classification techniques, commonly used sensors, and the performance achieved in identifying these movements. Results: The analysis provides a general overview of implemented punch and kick classification techniques. This contributes to understanding recent advancements in this field and how they can enhance objectivity and precision in refereeing martial arts competitions. Conclusions: This study underscores the growing interest in machine learning techniques for classifying punches and kicks in martial arts, encompassing a wide range of classifiers, from traditional methods to deep learning models. The combination of inertial sensors and depth cameras emerges as a promising avenue. Future research is expected to thoroughly compare and characterize these approaches, paving the way for implementing artificial intelligence systems in martial arts competitions and potentially revolutionizing the objectivity in assessing movements in this sport.eng
dc.descriptionMotivación: la identificación precisa de golpes y patadas en competencias deportivas de artes marciales es un asunto crítico, a menudo complicado y, en ocasiones, sujeto a controversias debido a la apreciación subjetiva de los árbitros. Problema: la subjetividad en la evaluación de golpes y patadas durante las competencias deportivas de artes marciales plantea un desafío significativo en términos de imparcialidad y precisión en el arbitraje. Enfoque de solución: este estudio se centra en el análisis de las contribuciones más recientes en el campo del reconocimiento de golpes y patadas en competencias de artes marciales. Se revisan técnicas de clasificación y sensores comúnmente utilizados. Resultados: el análisis proporciona una visión general de las técnicas de clasificación implementadas en el reconocimiento de golpes y patadas. Esto contribuye a la comprensión de los avances recientes en este campo y cómo pueden mejorar la objetividad y precisión en el arbitraje de las competencias de artes marciales. Conclusiones: este estudio destaca el creciente interés en técnicas de aprendizaje automático para clasificar golpes y patadas en artes marciales, abarcando una amplia gama de clasificadores, desde métodos tradicionales hasta modelos de aprendizaje profundo. La combinación de sensores inerciales y cámaras profundas se presenta como una vía prometedora. Se anticipa que futuras investigaciones compararán y caracterizarán exhaustivamente estos enfoques, allanando el camino para la implementación de sistemas de inteligencia artificial en competencias de artes marciales, lo que podría revolucionar la objetividad en la evaluación de movimientos en este deporte.spa
dc.format.extentp. 1-15
dc.format.mediumElectrónico
dc.format.mimetypePDF
dc.language.isospa
dc.publisherUniversidad de Medellín
dc.relation.ispartofseriesRevista Ingenierías Universidad de Medellín; Vol. 23 No. 44 (2024)
dc.relation.haspartRevista Ingenierías Universidad de Medellín; Vol. 23 Núm. 44 enero-junio 2024
dc.relation.urihttps://revistas.udem.edu.co/index.php/ingenierias/article/view/4704
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0*
dc.sourceRevista Ingenierías Universidad de Medellín; Vol. 22 No. 42 (2023): (enero-junio); 1-15
dc.subjectActivity recognitioneng
dc.subjectMartial artseng
dc.subjectTaekwondoeng
dc.subjectKickingeng
dc.subjectSensorseng
dc.subjectClassifierseng
dc.subjectSystematic mappingeng
dc.subjectReconocimiento de actividadesspa
dc.subjectArtes marcialesspa
dc.subjectTaekwondospa
dc.subjectPatadasspa
dc.subjectSensoresspa
dc.subjectClasificadoresspa
dc.subjectMapeo sistemáticospa
dc.titleRecognition of offensive techniques in martial arts: a systematic mapping studyeng
dc.titleReconocimiento de técnicas ofensivas en artes marciales: un mapeo sistemáticospa
dc.typearticle
dc.identifier.doihttps://doi.org/10.22395/rium.v23n44a3
dc.relation.citationvolume23
dc.relation.citationissue44
dc.relation.citationstartpage1
dc.relation.citationendpage15
dc.audienceComunidad Universidad de Medellín
dc.publisher.facultyFacultad de Ingenierías
dc.coverageLat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degreesLong: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees
dc.publisher.placeMedellín
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dc.rights.creativecommonsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.identifier.eissn2248-4094
dc.type.coarhttp://purl.org/coar/resource_type/c_6501
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.type.localArtículo científico
dc.type.driverinfo:eu-repo/semantics/article
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellín
dc.identifier.repourlrepourl:https://repository.udem.edu.co/
dc.identifier.instnameinstname:Universidad de Medellín


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