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Thumbs Up: 3D Gesture Input on Mobile Phones Using the Front Facing Camera

Schmieder, Paul; Hosking, John; Luxton-Reilly, Andrew; Plimmer, Beryl

Description

We use the front facing camera in a smart phone to capture gesture input. Thumb gestures performed above the camera are recognized and used to invoke commands. In contrast to other input modalities the camera requires no device movements and no valuable s

dc.contributor.authorSchmieder, Paul
dc.contributor.authorHosking, John
dc.contributor.authorLuxton-Reilly, Andrew
dc.contributor.authorPlimmer, Beryl
dc.date.accessioned2015-12-10T23:22:16Z
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/1885/66457
dc.description.abstractWe use the front facing camera in a smart phone to capture gesture input. Thumb gestures performed above the camera are recognized and used to invoke commands. In contrast to other input modalities the camera requires no device movements and no valuable s
dc.publisherSpringer
dc.sourceLecture Notes in Computer Science (LNCS)
dc.subjectKeywords: Input modalities; Mobile interaction; Motion gestures; Performance constraints; Proof of concept; Recognition strategies; Reliable recognition; User satisfaction; Facings; Human computer interaction; Image recognition; Three dimensional; Cameras image recognition; mobile interaction; Motion gestures
dc.titleThumbs Up: 3D Gesture Input on Mobile Phones Using the Front Facing Camera
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume8118
dc.date.issued2013
local.identifier.absfor080106 - Image Processing
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.ariespublicationu4334215xPUB1286
local.type.statusPublished Version
local.contributor.affiliationSchmieder, Paul, University of Auckland
local.contributor.affiliationHosking, John, College of Engineering and Computer Science, ANU
local.contributor.affiliationLuxton-Reilly, Andrew, University of Auckland
local.contributor.affiliationPlimmer, Beryl, University of Auckland
local.description.embargo2037-12-31
local.bibliographicCitation.issue2013
local.bibliographicCitation.startpage318
local.bibliographicCitation.lastpage336
local.identifier.doi10.1007/978-3-642-40480-1_20
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
dc.date.updated2016-02-24T10:58:13Z
local.identifier.scopusID2-s2.0-84883284640
CollectionsANU Research Publications

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