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Conference Paper: Building smart cameras on mobile tablets for hand gesture recognition

TitleBuilding smart cameras on mobile tablets for hand gesture recognition
Authors
KeywordsComputational power
Hand gesture
Hand-gesture recognition
High resolution camer
Home entertainment system
Real-time application
Smart cameras
User input
Issue Date2012
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001918
Citation
The 6th International Conference on Distributed Smart Cameras (ICDSC 2012), Hong Kong, China, 30 October-2 November 2012. In ACM/IEEE ICDSC Proceedings, 2012 How to Cite?
AbstractMobile tablets have become very popular due to their portability and the wide diversity of the applications available. The touch screens and built-in accelerometers facilitate different forms of input instead of keyboards and mice. Nowadays, high-resolution cameras become a standard feature in a mobile device. Nevertheless, this camera is seldom considered to serve as a form of user inputs to the application, although similar technology is realized in some home entertainment systems. This paper describes our experience on making a smart camera on an iPad that can recognize pre-defined hand gestures. We study the time performance of performing image processing on an iPad. We find that due to the limited computational power of the mobile device, recognition results may not be available fast enough for a real-time application. We explore applying cloud computing to solve the problem. To the best of our knowledge, this is the first study on recognizing hand gestures on an iPad. Our results facilitate the development of a brand new type of applications that require smart cameras. © 2012 ACM.
Persistent Identifierhttp://hdl.handle.net/10722/186788

 

DC FieldValueLanguage
dc.contributor.authorMeng, Xen_US
dc.contributor.authorCheung, CMen_US
dc.contributor.authorHo, KLen_US
dc.contributor.authorLui, KSen_US
dc.contributor.authorLam, EYen_US
dc.contributor.authorTam, Ven_US
dc.date.accessioned2013-08-20T12:19:31Z-
dc.date.available2013-08-20T12:19:31Z-
dc.date.issued2012en_US
dc.identifier.citationThe 6th International Conference on Distributed Smart Cameras (ICDSC 2012), Hong Kong, China, 30 October-2 November 2012. In ACM/IEEE ICDSC Proceedings, 2012en_US
dc.identifier.urihttp://hdl.handle.net/10722/186788-
dc.description.abstractMobile tablets have become very popular due to their portability and the wide diversity of the applications available. The touch screens and built-in accelerometers facilitate different forms of input instead of keyboards and mice. Nowadays, high-resolution cameras become a standard feature in a mobile device. Nevertheless, this camera is seldom considered to serve as a form of user inputs to the application, although similar technology is realized in some home entertainment systems. This paper describes our experience on making a smart camera on an iPad that can recognize pre-defined hand gestures. We study the time performance of performing image processing on an iPad. We find that due to the limited computational power of the mobile device, recognition results may not be available fast enough for a real-time application. We explore applying cloud computing to solve the problem. To the best of our knowledge, this is the first study on recognizing hand gestures on an iPad. Our results facilitate the development of a brand new type of applications that require smart cameras. © 2012 ACM.-
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001918-
dc.relation.ispartofACM/IEEE International Conference on Distributed Smart Cameras Proceedingsen_US
dc.rightsACM/IEEE International Conference on Distributed Smart Cameras Proceedings. Copyright © IEEE.-
dc.rights©2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectComputational power-
dc.subjectHand gesture-
dc.subjectHand-gesture recognition-
dc.subjectHigh resolution camer-
dc.subjectHome entertainment system-
dc.subjectReal-time application-
dc.subjectSmart cameras-
dc.subjectUser input-
dc.titleBuilding smart cameras on mobile tablets for hand gesture recognitionen_US
dc.typeConference_Paperen_US
dc.identifier.emailCheung, CM: ccming@hku.hken_US
dc.identifier.emailHo, KL: hoalex@hku.hken_US
dc.identifier.emailLui, KS: kslui@eee.hku.hken_US
dc.identifier.emailLam, EY: elam@eee.hku.hken_US
dc.identifier.emailTam, V: vtam@eee.hku.hken_US
dc.identifier.authorityLui, KS=rp00188en_US
dc.identifier.authorityLam, EY=rp00131en_US
dc.identifier.authorityTam, V=rp00173en_US
dc.description.naturepublished_or_final_version-
dc.identifier.scopuseid_2-s2.0-84875112143-
dc.identifier.hkuros220494en_US
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 130904-

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