Thumbs up: 3D gesture input on mobile phones using the front facing camera

dc.contributor.authorSchmieder, Paulen
dc.contributor.authorHosking, Johnen
dc.contributor.authorLuxton-Reilly, Andrewen
dc.contributor.authorPlimmer, Berylen
dc.date.accessioned2026-01-01T07:41:18Z
dc.date.available2026-01-01T07:41:18Z
dc.date.issued2013en
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 screen space is used. To be viable, this type of interaction requires gestures which are comfortable and memorable for the user and real-time accurate recognition of those gestures. Given the performance constraints of phones and their cameras we needed to determine whether accurate and reliable recognition is possible and identify types of gestures that are recognizable and user appropriate. As a proof of concept, we conducted a user study testing three gestures for performance and user satisfaction. The results demonstrate that the 3D gestural input is successful and we provide detailed insights into successful recognition strategies for this novel interaction modality.en
dc.description.statusPeer-revieweden
dc.format.extent19en
dc.identifier.isbn9783642404795en
dc.identifier.issn0302-9743en
dc.identifier.scopus84883284640en
dc.identifier.urihttps://hdl.handle.net/1885/733798707
dc.language.isoenen
dc.relation.ispartofHuman-Computer Interaction, INTERACT 2013 - 14th IFIP TC 13 International Conference, Proceedingsen
dc.relation.ispartofseries14th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2013en
dc.relation.ispartofseriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en
dc.relation.isversionofPART 2en
dc.subjectimage recognitionen
dc.subjectmobile interactionen
dc.subjectMotion gesturesen
dc.titleThumbs up: 3D gesture input on mobile phones using the front facing cameraen
dc.typeConference paperen
dspace.entity.typePublicationen
local.bibliographicCitation.lastpage336en
local.bibliographicCitation.startpage318en
local.contributor.affiliationSchmieder, Paul; The University of Aucklanden
local.contributor.affiliationHosking, John; School of Computing, ANU College of Systems and Society, The Australian National Universityen
local.contributor.affiliationLuxton-Reilly, Andrew; The University of Aucklanden
local.contributor.affiliationPlimmer, Beryl; The University of Aucklanden
local.identifier.ariespublicationu4334215xPUB1286en
local.identifier.doi10.1007/978-3-642-40480-1_20en
local.identifier.essn1611-3349en
local.identifier.pure3030e950-9ce7-42a6-869c-61c6c3531a26en
local.identifier.urlhttps://www.scopus.com/pages/publications/84883284640en
local.type.statusPublisheden

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