Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/97045
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dc.contributorDepartment of Management and Marketingen_US
dc.creatorQi, Zen_US
dc.creatorQi, Cen_US
dc.date.accessioned2023-01-17T06:57:39Z-
dc.date.available2023-01-17T06:57:39Z-
dc.identifier.isbn978-1-4503-7150-6en_US
dc.identifier.urihttp://hdl.handle.net/10397/97045-
dc.language.isoenen_US
dc.publisherAssociation for Computing Machinaryen_US
dc.rights© 2019 Association for Computing Machineryen_US
dc.rightsThis is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 2019 International Conference on Artificial Intelligence and Computer Science, http://dx.doi.org/10.1145/3349341.3349480.en_US
dc.subjectArtificial intelligenceen_US
dc.subjectKung Fuen_US
dc.subjectRoboticsen_US
dc.subjectWing Chunen_US
dc.subjectWooden dummyen_US
dc.titleAn AI application in Wing Chun wooden dummy techniquesen_US
dc.typeConference Paperen_US
dc.identifier.spage626en_US
dc.identifier.epage629en_US
dc.identifier.doi10.1145/3349341.3349480en_US
dcterms.abstractRecently AI has gained a remarkable public attention globally and its development is still accelerating. AI can help a lot in many traditional industries. In this paper, we are taking our first step to try to apply AI technology into one of the traditional areas - Wing Chun. Wing Chun is one of the styles of Chinese traditional martial arts (Kung Fu). Wooden dummy techniques are very important in Wing Chun. The traditional wooden dummy tool is superb that it can help a human to practice many different techniques of Wing Chun against one single tool. Now with the power of AI, it is possible to improve the wooden dummy to be even more helpful for the practicing person to master Wing Chun techniques.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIn AICS 2019: Proceedings of the 2019 International Conference on Artificial Intelligence and Computer Science, p. 626-629en_US
dcterms.issued2019-07-12-
dc.identifier.scopus2-s2.0-85073075983-
dc.relation.ispartofbookProceedings of the 2019 International Conference on Artificial Intelligence and Computer Scienceen_US
dc.relation.conferenceInternational Conference on Artificial Intelligence and Computer Scienceen_US
dc.publisher.placeNew York, NY, United Statesen_US
dc.description.validate202301 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberMM-0138-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS26340563-
dc.description.oaCategoryGreen (AAM)en_US
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