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dc.contributor.advisorLacey, Gerard
dc.contributor.authorZhou, Jiang
dc.date.accessioned2019-11-14T16:06:01Z
dc.date.available2019-11-14T16:06:01Z
dc.date.issued2013
dc.identifier.citationJiang Zhou, 'Vision-based hand washing gesture recognition', [thesis], Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2013, pp 148
dc.identifier.otherTHESIS 9972
dc.description.abstractVision-based human gesture recognition has been studied for many years, however hand washing gesture recognition suprisingly remains untouched in the research. Strictly applying correct hand washing techniques is one of the most important ways to prevent the spread of infection and illness, especially in healthcare environment. In this thesis, we propose and evaluate a number of vision-based measuring methods as alternatives of laborious human monitoring of hand hygiene. The main goal of our research is to detect and recognize certain hand washing gesture patterns robustly and effectively.
dc.format1 volume
dc.language.isoen
dc.publisherTrinity College (Dublin, Ireland). School of Computer Science & Statistics
dc.relation.isversionofhttp://stella.catalogue.tcd.ie/iii/encore/record/C__Rb15339966
dc.subjectComputer Science & Statistics, Ph.D.
dc.subjectPh.D. Trinity College Dublin.
dc.titleVision-based hand washing gesture recognition
dc.typethesis
dc.type.supercollectionthesis_dissertations
dc.type.supercollectionrefereed_publications
dc.type.qualificationlevelDoctoral
dc.type.qualificationnameDoctor of Philosophy (Ph.D.)
dc.rights.ecaccessrightsopenAccess
dc.format.extentpaginationpp 148
dc.description.noteTARA (Trinity’s Access to Research Archive) has a robust takedown policy. Please contact us if you have any concerns: rssadmin@tcd.ie
dc.identifier.urihttp://hdl.handle.net/2262/90690


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