Real-time gesture recognition using eigenvectors

dc.contributor.authorSegers, Vaughn
dc.contributor.authorConnan, James
dc.date.accessioned2009-11-19T12:23:16Z
dc.date.available2009-11-19T12:23:16Z
dc.date.issued2009
dc.description.abstractThis paper discusses an implementation for gesture recognition using eigenvectors under controlled conditions. This application of eigenvector recognition is trained on a set of defined hand images. Training images are processed using eigen techniques from the OpenCV image processing library. Test images are then compared in real-time. These techniques are outlined below.en_US
dc.description.sponsorshipTelkom. CISCO, THRIPen_US
dc.identifier.citationSegers, V. & Connan, J. (2009) Real-time gesture recognition using eigenvectors. Proc. Southern Africa Telecommunication Networks and Applications Conference (SATNAC 2009), Royal Swazi Spa, Ezulwini, Swaziland, 363-366en_US
dc.identifier.urihttp://hdl.handle.net/10566/63
dc.inquiriesjconnan@uwc.ac.za
dc.language.isoenen_US
dc.rightsThis file may be freely used for educational purposes, as long as it is not altered in any way. Acknowledgement of the authors and the source is required
dc.subjectHand shapeen_US
dc.subjectGesture recognitionen_US
dc.subjectEigenvectorsen_US
dc.subjectSign languageen_US
dc.titleReal-time gesture recognition using eigenvectorsen_US
dc.typeConference Paperen_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Segers_Real2009.pdf
Size:
175.75 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.79 KB
Format:
Item-specific license agreed upon to submission
Description: