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dc.contributor.authorDadgostar, Farhad
dc.contributor.authorBarczak, Andre L.C.
dc.contributor.authorSarrafzadeh, Abdolhossein
dc.date.accessioned2013-05-15T02:01:24Z
dc.date.available2013-05-15T02:01:24Z
dc.date.issued2005
dc.identifier.citationDadgostar, F., Barczak, A.L.C., Sarrafzadeh, A. (2005), A color hand gesture database for evaluating and improving algorithms on hand gesture and posture recognition, Research Letters in the Information and Mathematical Sciences, 7, 127-134en
dc.identifier.issn1175-2777
dc.identifier.urihttp://hdl.handle.net/10179/4440
dc.description.abstractWith the increase of research activities in vision-based hand posture and gesture recognition, new methods and algorithms are being developed. Although less attention is being paid to developing a standard platform for this purpose. Developing a database of hand gesture images is a necessary first step for standardizing the research on hand gesture recognition. For this purpose, we have developed an image database of hand posture and gesture images. The database contains hand images in different lighting conditions and collected using a digital camera. Details of the automatic segmentation and clipping of the hands are also discussed in this paper.en
dc.language.isoenen
dc.publisherMassey Universityen
dc.subjectGesture recognitionen
dc.subjectHand gesture recognitionen
dc.subjectHand posture detectionen
dc.subjectHand image databaseen
dc.titleA color hand gesture database for evaluating and improving algorithms on hand gesture and posture recognitionen
dc.typeArticleen


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