Please use this identifier to cite or link to this item: https://doi.org/10.25540/AWJS-GMJB
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dc.titleThe NUS hand posture datasets II
dc.contributor.authorPramod Kumar, P.
dc.contributor.authorPrahlad Vadakkepat
dc.contributor.authorLoh Ai Poh
dc.date.accessioned2017-11-03T09:29:20Z
dc.date.available2017-11-03
dc.date.issued2017-11-03
dc.identifier.citationPramod Kumar, P., Prahlad Vadakkepat, Loh Ai Poh (2017-11-03). The NUS hand posture datasets II. ScholarBank@NUS Repository. [Dataset]. <a href="https://doi.org/10.25540/AWJS-GMJB" target="_blank">https://doi.org/10.25540/AWJS-GMJB</a>
dc.identifier.relatedcitationPisharady, P.K.,Vadakkepat, P.,Loh, A.P. (2013-02) Attention based detection and recognition of hand postures against complex backgrounds. International Journal of Computer Vision 101 (3) : 403-419. https://doi.org/10.1007/s11263-012-0560-5
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/137242
dc.identifier.urihttps://doi.org/10.5072/AWJS-GMJB
dc.description.abstract<p> This is a 10 class hand posture dataset. The postures are shot in and around National University of Singapore (NUS), against complex natural backgrounds, with various hand shapes and sizes. The postures are performed by 40 subjects, with different ethnicities, against different complex backgrounds. The subjects include both males and females in the age range of 22 to 56 years. The subjects are asked to show the 10 hand postures, 5 times each. They are asked to loosen the hand muscle after each shot, in order to incorporate the natural variations in the postures. The dataset also consist of a set of background images which does not contain any of the hand postures. </p> <p> This dataset can be used for academic research purposes free of cost, by citing both the original article and this data package.</p> <ul> <li>Pisharady, P.K.,Vadakkepat, P.,Loh, A.P. (2013-02) Attention based detection and recognition of hand postures against complex backgrounds. International Journal of Computer Vision 101 (3) : 403-419. <a href="https://doi.org/10.1007/s11263-012-0560-5">https://doi.org/10.1007/s11263-012-0560-5</a></li> </ul> <p> This dataset is also available at <a href="https://www.ece.nus.edu.sg/stfpage/elepv/NUS-HandSet/">https://www.ece.nus.edu.sg/stfpage/elepv/NUS-HandSet/</a>. </p>
dc.rightsAttribution-NonCommercial 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectBiologically inspired features
dc.subjectComplex backgrounds
dc.subjectComputer vision
dc.subjectHand gesture recognition
dc.subjectPattern recognition
dc.subjectVisual attention
dc.typeDataset
dc.contributor.departmentELECTRICAL AND COMPUTER ENGINEERING
dc.description.doidoi:10.25540/AWJS-GMJB
dc.description.seriesThe NUS hand posture datasets I & II
dc.relation.item10635/55157
dc.relation.item10.1007/s11263-012-0560-5
dc.type.dataset.zip
dc.type.dataset.txt
dc.description.contactprofilePRAHLAD VADAKKEPAT
dc.description.contactprofileLOH AI POH
dc.description.contactexternalPramod Kumar P., pramod@alumni.nus.edu.sg
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