Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/62734
DC FieldValueLanguage
dc.contributorInstitute of Textiles and Clothing-
dc.creatorChan, AP-
dc.creatorFan, JT-
dc.creatorYu, WM-
dc.date.accessioned2017-01-13T04:21:12Z-
dc.date.available2017-01-13T04:21:12Z-
dc.identifier.issn0955-6222-
dc.identifier.urihttp://hdl.handle.net/10397/62734-
dc.language.isoenen_US
dc.publisherEmerald Group Publishing Limiteden_US
dc.subjectMenen_US
dc.subjectMultiple regression analysisen_US
dc.subjectPhysical testingen_US
dc.subjectMeasurementen_US
dc.subjectClothingen_US
dc.titlePrediction of men's shirt pattern based on 3D body measurementsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage100-
dc.identifier.epage108-
dc.identifier.volume17-
dc.identifier.issue2-
dc.identifier.doi10.1108/09556220510581245-
dcterms.abstractPurpose – The paper discusses the prediction of shirt patterns for different body sizes using multiple linear regression (MLR).-
dcterms.abstractDesign/methodology/approach – A total of 29 pattern parameters from men's tailor‐made shirt and 34 body parameters obtained from a body scanner were designed for analysis. MLR has been applied to examine the underlying relationship between shirt pattern parameters and body measurements.-
dcterms.abstractFindings– Compared with formulae from the pattern expert, the prediction of shirt pattern from MLR has been improved.-
dcterms.abstractOriginality/value – The findings could help to predict pattern size with different body sizes more accurately.-
dcterms.bibliographicCitationInternational journal of clothing science and technology, 2005, v. 17, no. 2, p. 100-108-
dcterms.isPartOfInternational journal of clothing science and technology-
dcterms.issued2005-
dc.identifier.scopus2-s2.0-19944412161-
dc.identifier.eissn1758-5953-
dc.identifier.rosgroupidr23686-
dc.description.ros2004-2005 > Academic research: refereed > Publication in refereed journal-
Appears in Collections:Journal/Magazine Article
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