Please use this identifier to cite or link to this item:
https://doi.org/10.25540/AWJS-GMJB
DC Field | Value | |
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dc.title | The NUS hand posture datasets II | |
dc.contributor.author | Pramod Kumar, P. | |
dc.contributor.author | Prahlad Vadakkepat | |
dc.contributor.author | Loh Ai Poh | |
dc.date.accessioned | 2017-11-03T09:29:20Z | |
dc.date.available | 2017-11-03 | |
dc.date.issued | 2017-11-03 | |
dc.identifier.citation | Pramod 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.relatedcitation | 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. https://doi.org/10.1007/s11263-012-0560-5 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/137242 | |
dc.identifier.uri | https://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.rights | Attribution-NonCommercial 4.0 International | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | |
dc.subject | Biologically inspired features | |
dc.subject | Complex backgrounds | |
dc.subject | Computer vision | |
dc.subject | Hand gesture recognition | |
dc.subject | Pattern recognition | |
dc.subject | Visual attention | |
dc.type | Dataset | |
dc.contributor.department | ELECTRICAL AND COMPUTER ENGINEERING | |
dc.description.doi | doi:10.25540/AWJS-GMJB | |
dc.description.series | The NUS hand posture datasets I & II | |
dc.relation.item | 10635/55157 | |
dc.relation.item | 10.1007/s11263-012-0560-5 | |
dc.type.dataset | .zip | |
dc.type.dataset | .txt | |
dc.description.contactprofile | PRAHLAD VADAKKEPAT | |
dc.description.contactprofile | LOH AI POH | |
dc.description.contactexternal | Pramod Kumar P., pramod@alumni.nus.edu.sg | |
Appears in Collections: | Staff Dataset |
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Files in This Item:
File | Description | Size | Format | Access Settings | |
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NUS-Hand-Posture-Dataset-II.zip | 75.42 MB | ZIP | OPEN | View/Download | |
README.txt | 1.83 kB | Text | OPEN | View/Download |
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