mycoreobjectrosdok_disshab_0000001687rosdok_disshab_0000001687rosdokdisshabrosdok_derivate_00000367862023-08-08T10:07:41.919Z2017-03-03T09:06:15.680ZadministratoreditorDpublished1rosdok_derivate_0000036786truetruederivate_types:fulltextVolltextfulltextwf_edit_epub wf_register_epubstate:publishedstate:publishedveröffentlichtpublishedrosdok/id00001865881598240MODS updated during RosDok migration in June 2021DissertationHochschulschrift112675353XRedwan Abdo AbdullahMohammed1979-VerfasserInautPredicting human behavior in smart environmentstheory and application to gaze predictionen123136539Prof. Dr. Sc. techn.OliverStaadtUniversity of Rostock, Visual Computing Group, Institute of Computer ScienceAkademischeR BetreuerIndgs137244754Prof. Dr.-Ing.ThomasKirsteUniversity of Rostock, Mobile Multimedia Information Systems Group, Institute of Computer ScienceAkademischeR BetreuerIndgs138094357Prof. Dr.HenningSprekelerTechnical University Berlin, Modelling of Cognitive Processes Group, Institute of Software Engineering and Theoretical Computer ScienceAkademischeR BetreuerIndgs141827793Dr. rer. nat.LarsSchwabeData Insight Lab, Lufthansa Industry SolutionsAkademischeR BetreuerIndgs10085032-7Universität RostockFakultät für Informatik und ElektrotechnikGrad-verleihende Institutiondgg10.18453/rosdok_id00001865http://purl.uni-rostock.de/rosdok/id00001865urn:nbn:de:gbv:28-diss2017-0029-6004 InformatikFakultät für Informatik und Elektrotechnikfrei zugänglich (Open Access)Lizenz Metadaten: CC0Nutzungsrechte erteiltalle Rechte vorbehaltenUniversität RostockRostock2017monographic20162017Universitätsbibliothek RostockRostock20172017Predicting human behavior is desirable in many application scenarios in smart environments. The existing models for eye movements do not take contextual factors into account. This addressed in this thesis using a systematic machine-learning approach, where user profiles for eye movements behaviors are learned from data. In addition, a theoretical innovation is presented, which goes beyond pure data analysis. The thesis proposed the modeling of eye movements as a Markov Decision Processes. 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Lars SchwabeUniversität Rostock Fakultät für Informatik und ElektrotechnikRedwan Abdo Abdullah MohammedRostockUniversität Rostockepub.dissertation10.18453/rosdok_id00001865http://purl.uni-rostock.de/rosdok/id00001865urn:nbn:de:gbv:28-diss2017-0029-6visual attention recognitioncontext-aware systemsgaze predictionnormative modelsintelligent systemsPredicting human behavior is desirable in many application scenarios in smart environments. The existing models for eye movements do not take contextual factors into account. This addressed in this thesis using a systematic machine-learning approach, where user profiles for eye movements behaviors are learned from data. In addition, a theoretical innovation is presented, which goes beyond pure data analysis. The thesis proposed the modeling of eye movements as a Markov Decision Processes. 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The existing models for eye movements do not take contextual factors into account. This addressed in this thesis using a systematic machine-learning approach, where user profiles for eye movements behaviors are learned from data. In addition, a theoretical innovation is presented, which goes beyond pure data analysis. The thesis proposed the modeling of eye movements as a Markov Decision Processes. 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Lars SchwabeUniversität Rostock Fakultät für Informatik und ElektrotechnikRedwan Abdo Abdullah MohammedRostockUniversität Rostockepub.dissertation10.18453/rosdok_id00001865http://purl.uni-rostock.de/rosdok/id00001865urn:nbn:de:gbv:28-diss2017-0029-6visual attention recognitioncontext-aware systemsgaze predictionnormative modelsintelligent systemsPredicting human behavior is desirable in many application scenarios in smart environments. The existing models for eye movements do not take contextual factors into account. This addressed in this thesis using a systematic machine-learning approach, where user profiles for eye movements behaviors are learned from data. In addition, a theoretical innovation is presented, which goes beyond pure data analysis. The thesis proposed the modeling of eye movements as a Markov Decision Processes. 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This addressed in this thesis using a systematic machine-learning approach, where user profiles for eye movements behaviors…Redwan Abdo Abdullah MohammedPredicting human behavior in smart environmentstheory and application to gaze predictionUniversitätsbibliothek Rostockhttp://purl.uni-rostock.de/rosdok/id00001865112675353XRedwan Abdo AbdullahMohammed1979-VerfasserInaut123136539Prof. Dr. Sc. techn.OliverStaadtUniversity of Rostock, Visual Computing Group, Institute of Computer ScienceAkademischeR BetreuerIndgs137244754Prof. Dr.-Ing.ThomasKirsteUniversity of Rostock, Mobile Multimedia Information Systems Group, Institute of Computer ScienceAkademischeR BetreuerIndgs138094357Prof. Dr.HenningSprekelerTechnical University Berlin, Modelling of Cognitive Processes Group, Institute of Software Engineering and Theoretical Computer ScienceAkademischeR BetreuerIndgs141827793Dr. rer. nat.LarsSchwabeData Insight Lab, Lufthansa Industry SolutionsAkademischeR BetreuerIndgs10085032-7Universität RostockFakultät für Informatik und ElektrotechnikGrad-verleihende Institutiondgg[doi]10.18453/rosdok_id00001865[purl]http://purl.uni-rostock.de/rosdok/id00001865[urn]urn:nbn:de:gbv:28-diss2017-0029-6open_access20172017epoch:21th_centuryrfc5646:endoctype:epub.dissertationaccesscondition:openaccessSDNB:004institution:unirostock.iefstate:published