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dc.contributor.authorHammer, Jan Hendrik
dc.date.accessioned2025-03-07T22:35:10Z
dc.date.available2025-03-07T22:35:10Z
dc.date.issued2022
dc.date.submitted2022-10-18T11:11:51Z
dc.identifierOCN: 1367235073
dc.identifierhttps://library.oapen.org/handle/20.500.12657/58900
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/169498
dc.description.abstractIntuitive interaction techniques are essential for mobile augmented reality systems. For implicit interaction, this work presents techniques for automatic eye movement analysis and visualization. In the context of explicit interaction, a fusion of optical flow, skin color segmentation, and a hand pose estimator is presented along with a tracking method for localization and pose estimation of a hand in monocular color images.
dc.languageGerman
dc.relation.ispartofseriesKarlsruher Schriften zur Anthropomatik
dc.rightsopen access
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists
dc.subject.otherMensch-Maschine-Interaktion; Blickanalyse; Hand-Tracking; Handpose; Augmented Reality; human computer interaction; gaze analysis; hand tracking; hand pose; augmented reality
dc.titleInteraktionstechniken für mobile Augmented-Reality-Anwendungen basierend auf Blick- und Handbewegungen
dc.typebook
oapen.identifier.doi10.5445/KSP/1000143476
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2
oapen.relation.isbn9783731511694
oapen.collectionAG Universitätsverlage
oapen.pages230
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeEditorial board member
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityBooks or series editor
peerreview.id51a542ec-eaeb-47c2-861d-6022e981a97a
dc.seriesnumber55
peerreview.titleDissertations in Series (Dissertationen in Schriftenreihe)


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open access
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