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dc.contributor.authorDunau, Patrick
dc.date.accessioned2021-08-17T04:15:08Z
dc.date.available2021-08-17T04:15:08Z
dc.date.issued2021
dc.date.submitted2021-08-16T09:31:15Z
dc.identifierONIX_20210816_9783731510864_7
dc.identifierOCN: 1272922826
dc.identifier1863-6489
dc.identifierhttps://library.oapen.org/handle/20.500.12657/50446
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/71677
dc.description.abstractThis work evaluates different approaches for observing human states. The considered human conditions comprise the current position, the actual performance, and the emotional facial expression. This work relies on tracking and static classification methods to observe the humans‘ conditions.
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 scientistsen_US
dc.subject.otherEmotion Recognition
dc.subject.otherComputer Vision
dc.subject.otherPerformance Tracking
dc.subject.otherTracking
dc.subject.otherEmotionserkennung
dc.subject.otherBildverarbeitung
dc.subject.otherLeistungsüberwachung
dc.subject.otherObjektverfolgung
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists
dc.titleTracking von Menschen und menschlichen Zuständen
dc.typebook
oapen.identifier.doi10.5445/KSP/1000129225
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2
oapen.relation.isbn9783731510864
oapen.collectionAG Universitätsverlage
oapen.imprintKIT Scientific Publishing
oapen.pages266
oapen.place.publicationKarlsruhe
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.seriesnumber51
dc.abstractotherlanguageThis work evaluates different approaches for observing human states. The considered human conditions comprise the current position, the actual performance, and the emotional facial expression. This work relies on tracking and static classification methods to observe the humans‘ conditions.
peerreview.titleDissertations in Series (Dissertationen in Schriftenreihe)


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