dc.contributor.author | Chen, Qing | |
dc.contributor.author | Malric, Francois | |
dc.contributor.author | Zhang, Yi | |
dc.contributor.author | Abid, Muhammad | |
dc.contributor.author | Cordeiro, Albino | |
dc.contributor.author | Petriu, Emil | |
dc.contributor.author | Georganas, Nicolas | |
dc.date.accessioned | 2021-07-13T10:09:56Z | |
dc.date.available | 2021-07-13T10:09:56Z | |
dc.date.issued | 2009-07-06 | |
dc.identifier.issn | 978-3-642-02610-2 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12761/1303 | |
dc.description | Proceedings 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.abstract | Digital 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.iso | eng | |
dc.publisher | Springer Science+Business Media | |
dc.subject.lcc | Q Science::Q Science (General) | |
dc.subject.lcc | Q Science::QA Mathematics::QA75 Electronic computers. Computer science | |
dc.subject.lcc | T Technology::T Technology (General) | |
dc.subject.lcc | T Technology::TA Engineering (General). Civil engineering (General) | |
dc.subject.lcc | T Technology::TK Electrical engineering. Electronics Nuclear engineering | |
dc.title | Interacting with Digital Signage Using Hand Gestures | en |
dc.type | conference object | |
dc.conference.date | 6-8 July 2009 | |
dc.conference.place | Halifax, California, USA | |
dc.conference.title | The 6th International Conference on Image Analysis and Recognition (ICIAR 2009) | * |
dc.event.type | conference | |
dc.journal.title | Lecture Notes in Computer Science (Special Issue: Image Analysis and Recognition) | |
dc.pres.type | paper | |
dc.type.hasVersion | VoR | |
dc.rights.accessRights | open access | |
dc.volume.number | 5627 | |
dc.identifier.doi | 10.1007/978-3-642-02611-9_35 | |
dc.page.final | 358 | |
dc.page.initial | 347 | |
dc.description.refereed | TRUE | |
dc.description.status | pub | |
dc.eprint.id | http://eprints.networks.imdea.org/id/eprint/76 | |