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dc.contributor.authorChen, Qing
dc.contributor.authorMalric, Francois
dc.contributor.authorZhang, Yi
dc.contributor.authorAbid, Muhammad
dc.contributor.authorCordeiro, Albino
dc.contributor.authorPetriu, Emil
dc.contributor.authorGeorganas, Nicolas
dc.date.accessioned2021-07-13T10:09:56Z
dc.date.available2021-07-13T10:09:56Z
dc.date.issued2009-07-06
dc.identifier.issn978-3-642-02610-2
dc.identifier.urihttp://hdl.handle.net/20.500.12761/1303
dc.descriptionProceedings of the 6th International Conference, ICIAR 2009, Halifax, Canada, July 6-8, 2009, published by "Lecture Notes in Computer Science" journal. DOI: 10.1007/978-3-642-02611-9_35 Print ISBN: 978-3-642-02610-2 Online ISBN: 978-3-642-02611-9 Series Title Series Volume: 5627
dc.description.abstractDigital signage is a very attractive medium for advertisement and general communications in public open spaces. In order to add interaction capabilities to digital signage displays, special considerations must be taken. For example, the signs’ environment and placement might prevent direct access to conventional means of interaction, such as using a keyboard or a touch-sensitive screen. This paper describes a vision-based gesture recognition approach to interact with digital signage systems and discusses the issues faced by such systems. Using Haar-like features and the AdaBoosting algorithm, a set of hand gestures can be recognized in real-time and converted to gesture commands to control and manipulate the digital signage display. A demonstrative application using this gesture recognition interface is also depicted.
dc.language.isoeng
dc.publisherSpringer Science+Business Media
dc.subject.lccQ Science::Q Science (General)
dc.subject.lccQ Science::QA Mathematics::QA75 Electronic computers. Computer science
dc.subject.lccT Technology::T Technology (General)
dc.subject.lccT Technology::TA Engineering (General). Civil engineering (General)
dc.subject.lccT Technology::TK Electrical engineering. Electronics Nuclear engineering
dc.titleInteracting with Digital Signage Using Hand Gesturesen
dc.typeconference object
dc.conference.date6-8 July 2009
dc.conference.placeHalifax, California, USA
dc.conference.titleThe 6th International Conference on Image Analysis and Recognition (ICIAR 2009)*
dc.event.typeconference
dc.journal.titleLecture Notes in Computer Science (Special Issue: Image Analysis and Recognition)
dc.pres.typepaper
dc.type.hasVersionVoR
dc.rights.accessRightsopen access
dc.volume.number5627
dc.identifier.doi10.1007/978-3-642-02611-9_35
dc.page.final358
dc.page.initial347
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttp://eprints.networks.imdea.org/id/eprint/76


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