mycoreobjectrosdok_document_0000007967rosdok_document_0000007967rosdokdocumentrosdok_derivate_0000029081rosdok_derivate_00000290822023-10-17T09:40:54.380Z2015-08-14T13:45:15.896ZeditorRSapipublished2rosdok_derivate_0000029081rosdok_derivate_0000029082truetruederivate_types:documentationDokumentationdocumentationwf_edit_data wf_register_dataderivate_types:dataDatendatawf_edit_data wf_register_datastate:publishedstate:publishedveröffentlichtpublishedrosdok/id000001161677717084Oau2019-09-252023-08-05T15:20:43ZrdaConverted from PICA to MODS using Pica2Mods XSLT Transformer 2.7 [SCM: "0c0e7a3c226a4a0cbcbec39b493c3c5257339ab8" "v2.7" "2023-08-04T00:00:00+0200"] with mode 'DEFAULT'.DatenpublikationForschungsdatenRecognising the actions during cooking task (Cooking task dataset)[research data]The dataset contains the data of acceleration sensors attached to a person during the execution of a kitchen task. It consists of 7 datasets that describe the execution of preparing and having a meal: preparing the ingredients, cooking, serving the meal, having a meal, cleaning the table, and washing the dishes. The aim of the experiment is to investigate the ability of activity recognition approaches to recognise fine-grained user activities based on acceleration data. The results from the dataset can be found in the PlosOne paper "Computational State Space Models for Activity and Intention Recognition. A Feasibility Study" by Krüger et al.FrankKrüger1980 -VerfasserInaut10798759720000-0002-7925-3363University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems GroupAlbertHein1982 -VerfasserInaut1079876189University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems GroupKristinaYordanova1985 -VerfasserInaut10568927730000-0002-6428-1062University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems GroupThomasKirste1962 -VerfasserInaut137244754University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Grouphttp://purl.uni-rostock.de/rosdok/id00000116urn:nbn:de:gbv:28-rosdok_id00000116-110.18453/rosdok_id00000116004 InformatikFakultät für Informatik und ElektrotechnikCC BY 4.0Nutzungsrechte erteiltLizenz Metadaten: CC0frei zugänglich (Open Access)en2011University of RostockRostockmonographic20112015University Library of RostockRostock2015Universitätsbibliothek Rostockhttp://purl.uni-rostock.de/rosdok/id00000116[{"name":"Krüger, Frank","affil":"University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Group","orcid":"0000-0002-7925-3363"},{"name":"Hein, Albert","affil":"University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Group"},{"name":"Yordanova, Kristina","affil":"University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Group"},{"name":"Kirste, Thomas","affil":"University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Group"}]Frank Krüger, Albert Hein, Kristina Yordanova, Thomas KirsteFrank Krüger, Martin Nyolt, Kristina Yordanova, Albert Hein, and Thomas Kirste. Computational state space models for activity and intention recognition. a feasibility study. PLoS ONE, 9(11):e109381, 11 2014.10.1371/journal.pone.0109381Forschungsdaten zuMartin Nyolt, Frank Krüger, Kristina Yordanova, Albert Hein, and Thomas Kirste. Marginal filtering in large state spaces. International Journal of Approximate Reasoning, 61:16–32, June 2015.10.1016/j.ijar.2015.04.003Forschungsdaten zuMartin Nyolt, Kristina Yordanova, and Thomas Kirste. Checking models for activity recognition. In Proceedings of the International Conference on Agents and Artificial Intelligence (ICAART), pages 497–502, Lisbon, Portugal, January 2015.10.5220/0005275204970502Forschungsdaten zuKristina Yordanova. Methods for Engineering Symbolic Human Behaviour Models for Activity Recognition. PhD thesis, Institute of Computer Science, Rostock, Germany, June 2014.10.18453/rosdok_id00001381Forschungsdaten zuKristina Yordanova and Thomas Kirste. Towards systematic development of symbolic models for activity recognition in intelligent environments. In Proceedings of the 3rd Workshop on AI Problems and Approaches for Intelligent Environments held at ECAI 2014, Prague, Czech Republic, August 2014.10.13140/RG.2.1.3294.1521Forschungsdaten zuKrüger, FrankUniversity of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Group0000-0002-7925-3363Hein, AlbertUniversity of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems GroupYordanova, KristinaUniversity of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems GroupKirste, ThomasUniversity of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Groupdoctype:epubdoctype:epubDokumenttypDocument typedoctype:datadoctype:dataDatenpublikationdata publicationdiniPublType:ResearchData diniPublType2022:ResearchDatainfo:eu-repo/semantics/otherdocumentnatureOfContent:ppn_857755366natureOfContent:ppn_857755366ForschungsdatendiniPublType2022:ResearchDatadiniPublType2022:ResearchDataForschungsdatenResearch dataKDSFSDNB:004SDNB:004004 Informatik004 Data processing Computer sciencesinstitution:unirostockinstitution:unirostockUniversität RostockUniversity of RostockUniversität RostockUniversität RostockUni.Rostockhttp://d-nb.info/gnd/38329-6institution:unirostock.iefinstitution:unirostock.iefFakultät für Informatik und ElektrotechnikFaculty of Computer Science and Electrical EngineeringUniversität Rostock. Fakultät für Informatik und ElektrotechnikFakultät für Informatik<br />und ElektrotechnikUni.Rostock.Fakultaet.IEFhttp://d-nb.info/gnd/10085032-7licenseinfo:worklicenseinfo:workWerkworklicenseinfo:work.cclicenselicenseinfo:work.cclicenseCC-LizenzCC-licenselicenseinfo:work.cclicense.cc-bylicenseinfo:work.cclicense.cc-byCC BYCC BYlicenseinfo:work.cclicense.cc-by.v40licenseinfo:work.cclicense.cc-by.v40CC BY 4.0CC BY 4.0/creativecommons/l/by/4.0/88x31.png[DE-28]Namensnennung 4.0 International$cCC BY 4.0$gCreative Commons$uhttps://creativecommons.org/licenses/by/4.0/https://creativecommons.org/licenses/by/4.0/https://creativecommons.org/licenses/by/4.0/licenseinfo:depositlicenseinfo:depositVeröffentlichungsgenehmigungpermission to storelicenseinfo:deposit.rightsgrantedlicenseinfo:deposit.rightsgrantedNutzungsrechte erteiltrights grantedlicenseinfo:metadatalicenseinfo:metadataLizenzen für Metadatenlicenseinfo:metadata.cc0licenseinfo:metadata.cc0Lizenz Metadaten: CC0license metadata: CC0/creativecommons/p/zero/1.0/88x31.pnghttps://creativecommons.org/publicdomain/zero/1.0/accesscondition:openaccessaccesscondition:openaccessfrei zugänglich (Open Access)open accesshttp://purl.org/coar/access_right/c_abf2OAfreeinfo:eu-repo/semantics/openAccess[DE-28]Open Access$gControlled Vocabulary for Access Rights$uhttp://purl.org/coar/access_right/c_abf2rfc5646:enrfc5646:enEnglischEnglishengengRecognising the actions during cooking task (Cooking task dataset)[research data]Recognising the actions during cooking task (Cooking task dataset)[research data]gnd:1079875972orcid:0000-0002-7925-3363gnd:1079876189gnd:1056892773orcid:0000-0002-6428-1062gnd:137244754gnd:1079875972orcid:0000-0002-7925-3363gnd:1079876189gnd:1056892773orcid:0000-0002-6428-1062gnd:137244754rosdok_document_0000007967-d3533313e65gnd:1079875972orcid:0000-0002-7925-3363Frank KrügerFrank Krügerrosdok_document_0000007967-d3533313e82gnd:1079876189Albert HeinAlbert Heinrosdok_document_0000007967-d3533313e97gnd:1056892773orcid:0000-0002-6428-1062Kristina YordanovaKristina Yordanovarosdok_document_0000007967-d3533313e114gnd:137244754Thomas KirsteThomas KirsteFrank KrügerAlbert HeinKristina YordanovaThomas KirsteFrank KrügerAlbert HeinKristina YordanovaThomas KirsteFrank KrügerAlbert HeinKristina YordanovaThomas KirsteRostockUniversity of Rostockdatahttp://purl.uni-rostock.de/rosdok/id00000116urn:nbn:de:gbv:28-rosdok_id00000116-110.18453/rosdok_id00000116The dataset contains the data of acceleration sensors attached to a person during the execution of a kitchen task. It consists of 7 datasets that describe the execution of preparing and having a meal: preparing the ingredients, cooking, serving the meal, having a meal, cleaning the table, and washing the dishes. The aim of the experiment is to investigate the ability of activity recognition approaches to recognise fine-grained user activities based on acceleration data. The results from the dataset can be found in the PlosOne paper "Computational State Space Models for Activity and Intention Recognition. A Feasibility Study" by Krüger et al.20112011Frank Krüger, Martin Nyolt, Kristina Yordanova, Albert Hein, and Thomas Kirste. Computational state space models for activity and intention recognition. a feasibility study. PLoS ONE, 9(11):e109381, 11 2014.Frank Krüger, Martin Nyolt, Kristina Yordanova, Albert Hein, and Thomas Kirste. Computational state space models for activity and intention recognition. a feasibility study. PLoS ONE, 9(11):e109381, 11 2014.10.1371/journal.pone.0109381Forschungsdaten zu10.1371/journal.pone.0109381Martin Nyolt, Frank Krüger, Kristina Yordanova, Albert Hein, and Thomas Kirste. Marginal filtering in large state spaces. International Journal of Approximate Reasoning, 61:16–32, June 2015.Martin Nyolt, Frank Krüger, Kristina Yordanova, Albert Hein, and Thomas Kirste. Marginal filtering in large state spaces. International Journal of Approximate Reasoning, 61:16–32, June 2015.10.1016/j.ijar.2015.04.003Forschungsdaten zu10.1016/j.ijar.2015.04.003Martin Nyolt, Kristina Yordanova, and Thomas Kirste. Checking models for activity recognition. In Proceedings of the International Conference on Agents and Artificial Intelligence (ICAART), pages 497–502, Lisbon, Portugal, January 2015.Martin Nyolt, Kristina Yordanova, and Thomas Kirste. Checking models for activity recognition. In Proceedings of the International Conference on Agents and Artificial Intelligence (ICAART), pages 497–502, Lisbon, Portugal, January 2015.10.5220/0005275204970502Forschungsdaten zu10.5220/0005275204970502Kristina Yordanova. Methods for Engineering Symbolic Human Behaviour Models for Activity Recognition. PhD thesis, Institute of Computer Science, Rostock, Germany, June 2014.Kristina Yordanova. Methods for Engineering Symbolic Human Behaviour Models for Activity Recognition. PhD thesis, Institute of Computer Science, Rostock, Germany, June 2014.10.18453/rosdok_id00001381Forschungsdaten zu10.18453/rosdok_id00001381Kristina Yordanova and Thomas Kirste. Towards systematic development of symbolic models for activity recognition in intelligent environments. In Proceedings of the 3rd Workshop on AI Problems and Approaches for Intelligent Environments held at ECAI 2014, Prague, Czech Republic, August 2014.Kristina Yordanova and Thomas Kirste. Towards systematic development of symbolic models for activity recognition in intelligent environments. In Proceedings of the 3rd Workshop on AI Problems and Approaches for Intelligent Environments held at ECAI 2014, Prague, Czech Republic, August 2014.10.13140/RG.2.1.3294.1521Forschungsdaten zu10.13140/RG.2.1.3294.1521[{"name":"Krüger, Frank","affil":"University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Group","orcid":"0000-0002-7925-3363"},{"name":"Hein, Albert","affil":"University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Group"},{"name":"Yordanova, Kristina","affil":"University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Group"},{"name":"Kirste, Thomas","affil":"University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Group"}]Frank Krüger, Albert Hein, Kristina Yordanova, Thomas Kirstedata1 documentation.pdf 1245852 711f373c3cee34a50e523448cc82a307 2 D2011-KTA-KHY.zip 1347261 e9bf561353e8158e070d2b98f872d065 rosdok/id000001161677717084Oau2019-09-252023-08-05T15:20:43ZrdaConverted from PICA to MODS using Pica2Mods XSLT Transformer 2.7 [SCM: "0c0e7a3c226a4a0cbcbec39b493c3c5257339ab8" "v2.7" "2023-08-04T00:00:00+0200"] with mode 'DEFAULT'.DatenpublikationForschungsdatenRecognising the actions during cooking task (Cooking task dataset)[research data]The dataset contains the data of acceleration sensors attached to a person during the execution of a kitchen task. It consists of 7 datasets that describe the execution of preparing and having a meal: preparing the ingredients, cooking, serving the meal, having a meal, cleaning the table, and washing the dishes. The aim of the experiment is to investigate the ability of activity recognition approaches to recognise fine-grained user activities based on acceleration data. The results from the dataset can be found in the PlosOne paper "Computational State Space Models for Activity and Intention Recognition. A Feasibility Study" by Krüger et al.FrankKrüger1980 -VerfasserInaut10798759720000-0002-7925-3363University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems GroupAlbertHein1982 -VerfasserInaut1079876189University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems GroupKristinaYordanova1985 -VerfasserInaut10568927730000-0002-6428-1062University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems GroupThomasKirste1962 -VerfasserInaut137244754University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Grouphttp://purl.uni-rostock.de/rosdok/id00000116urn:nbn:de:gbv:28-rosdok_id00000116-110.18453/rosdok_id00000116004 InformatikFakultät für Informatik und ElektrotechnikCC BY 4.0Nutzungsrechte erteiltLizenz Metadaten: CC0frei zugänglich (Open Access)en2011University of RostockRostockmonographic20112015University Library of RostockRostock2015Universitätsbibliothek Rostockhttp://purl.uni-rostock.de/rosdok/id00000116[{"name":"Krüger, Frank","affil":"University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Group","orcid":"0000-0002-7925-3363"},{"name":"Hein, Albert","affil":"University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Group"},{"name":"Yordanova, Kristina","affil":"University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Group"},{"name":"Kirste, Thomas","affil":"University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Group"}]Frank Krüger, Albert Hein, Kristina Yordanova, Thomas KirsteFrank Krüger, Martin Nyolt, Kristina Yordanova, Albert Hein, and Thomas Kirste. Computational state space models for activity and intention recognition. a feasibility study. PLoS ONE, 9(11):e109381, 11 2014.10.1371/journal.pone.0109381Forschungsdaten zuMartin Nyolt, Frank Krüger, Kristina Yordanova, Albert Hein, and Thomas Kirste. Marginal filtering in large state spaces. International Journal of Approximate Reasoning, 61:16–32, June 2015.10.1016/j.ijar.2015.04.003Forschungsdaten zuMartin Nyolt, Kristina Yordanova, and Thomas Kirste. Checking models for activity recognition. In Proceedings of the International Conference on Agents and Artificial Intelligence (ICAART), pages 497–502, Lisbon, Portugal, January 2015.10.5220/0005275204970502Forschungsdaten zuKristina Yordanova. Methods for Engineering Symbolic Human Behaviour Models for Activity Recognition. PhD thesis, Institute of Computer Science, Rostock, Germany, June 2014.10.18453/rosdok_id00001381Forschungsdaten zuKristina Yordanova and Thomas Kirste. Towards systematic development of symbolic models for activity recognition in intelligent environments. In Proceedings of the 3rd Workshop on AI Problems and Approaches for Intelligent Environments held at ECAI 2014, Prague, Czech Republic, August 2014.10.13140/RG.2.1.3294.1521Forschungsdaten zu Krüger, Frank University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Group 0000-0002-7925-3363 Hein, Albert University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Group Yordanova, Kristina University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Group Kirste, Thomas University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Group 2015-08-14T13:45:15.896Z 2023-10-17T09:40:54.380Z 2023-10-27T09:40:54.389Z api {"identifier":"rosdok/id00000116","type":"local_id","additional":"","service":"MCRLocalID","created":"2018-06-30T20:09:50.591Z"} {"identifier":"http://purl.uni-rostock.de/rosdok/id00000116","type":"purl","additional":"","service":"RosDokPURL","created":"2018-06-30T20:09:50.680Z","registered":"2018-06-30T20:09:50.680Z"} {"identifier":"10.18453/rosdok_id00000116","type":"doi","additional":"","service":"RosDokDOI","created":"2021-08-01T15:24:34.179Z","registrationStarted":"2021-08-01T15:24:34.176Z","registered":"2021-08-10T17:02:44.189Z"} editorRSdocumentationdataRecognising the actions during cooking task (Cooking task dataset)[research data]Recognising the actions during cooking task (Cooking task dataset)[research data]gnd:1079875972orcid:0000-0002-7925-3363gnd:1079876189gnd:1056892773orcid:0000-0002-6428-1062gnd:137244754gnd:1079875972orcid:0000-0002-7925-3363gnd:1079876189gnd:1056892773orcid:0000-0002-6428-1062gnd:137244754rosdok_document_0000007967-d3533313e65gnd:1079875972orcid:0000-0002-7925-3363Frank KrügerFrank Krügerrosdok_document_0000007967-d3533313e82gnd:1079876189Albert HeinAlbert Heinrosdok_document_0000007967-d3533313e97gnd:1056892773orcid:0000-0002-6428-1062Kristina YordanovaKristina Yordanovarosdok_document_0000007967-d3533313e114gnd:137244754Thomas KirsteThomas KirsteFrank KrügerAlbert HeinKristina YordanovaThomas KirsteFrank KrügerAlbert HeinKristina YordanovaThomas KirsteFrank KrügerAlbert HeinKristina YordanovaThomas KirsteRostockUniversity of Rostockdatahttp://purl.uni-rostock.de/rosdok/id00000116urn:nbn:de:gbv:28-rosdok_id00000116-110.18453/rosdok_id00000116The dataset contains the data of acceleration sensors attached to a person during the execution of a kitchen task. It consists of 7 datasets that describe the execution of preparing and having a meal: preparing the ingredients, cooking, serving the meal, having a meal, cleaning the table, and washing the dishes. The aim of the experiment is to investigate the ability of activity recognition approaches to recognise fine-grained user activities based on acceleration data. The results from the dataset can be found in the PlosOne paper "Computational State Space Models for Activity and Intention Recognition. A Feasibility Study" by Krüger et al.20112011Frank Krüger, Martin Nyolt, Kristina Yordanova, Albert Hein, and Thomas Kirste. Computational state space models for activity and intention recognition. a feasibility study. PLoS ONE, 9(11):e109381, 11 2014.Frank Krüger, Martin Nyolt, Kristina Yordanova, Albert Hein, and Thomas Kirste. Computational state space models for activity and intention recognition. a feasibility study. PLoS ONE, 9(11):e109381, 11 2014.10.1371/journal.pone.0109381Forschungsdaten zu10.1371/journal.pone.0109381Martin Nyolt, Frank Krüger, Kristina Yordanova, Albert Hein, and Thomas Kirste. Marginal filtering in large state spaces. International Journal of Approximate Reasoning, 61:16–32, June 2015.Martin Nyolt, Frank Krüger, Kristina Yordanova, Albert Hein, and Thomas Kirste. Marginal filtering in large state spaces. International Journal of Approximate Reasoning, 61:16–32, June 2015.10.1016/j.ijar.2015.04.003Forschungsdaten zu10.1016/j.ijar.2015.04.003Martin Nyolt, Kristina Yordanova, and Thomas Kirste. Checking models for activity recognition. In Proceedings of the International Conference on Agents and Artificial Intelligence (ICAART), pages 497–502, Lisbon, Portugal, January 2015.Martin Nyolt, Kristina Yordanova, and Thomas Kirste. Checking models for activity recognition. In Proceedings of the International Conference on Agents and Artificial Intelligence (ICAART), pages 497–502, Lisbon, Portugal, January 2015.10.5220/0005275204970502Forschungsdaten zu10.5220/0005275204970502Kristina Yordanova. Methods for Engineering Symbolic Human Behaviour Models for Activity Recognition. PhD thesis, Institute of Computer Science, Rostock, Germany, June 2014.Kristina Yordanova. Methods for Engineering Symbolic Human Behaviour Models for Activity Recognition. PhD thesis, Institute of Computer Science, Rostock, Germany, June 2014.10.18453/rosdok_id00001381Forschungsdaten zu10.18453/rosdok_id00001381Kristina Yordanova and Thomas Kirste. Towards systematic development of symbolic models for activity recognition in intelligent environments. In Proceedings of the 3rd Workshop on AI Problems and Approaches for Intelligent Environments held at ECAI 2014, Prague, Czech Republic, August 2014.Kristina Yordanova and Thomas Kirste. Towards systematic development of symbolic models for activity recognition in intelligent environments. In Proceedings of the 3rd Workshop on AI Problems and Approaches for Intelligent Environments held at ECAI 2014, Prague, Czech Republic, August 2014.10.13140/RG.2.1.3294.1521Forschungsdaten zu10.13140/RG.2.1.3294.1521[{"name":"Krüger, Frank","affil":"University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Group","orcid":"0000-0002-7925-3363"},{"name":"Hein, Albert","affil":"University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Group"},{"name":"Yordanova, Kristina","affil":"University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Group"},{"name":"Kirste, Thomas","affil":"University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Group"}]Frank Krüger, Albert Hein, Kristina Yordanova, Thomas Kirste[xslt]Saxonrosdok/id00000116https://purl.uni-rostock.de/rosdok/id00000116167771708410.18453/rosdok_id00000116urn:nbn:de:gbv:28-rosdok_id00000116-1Frank Krüger, Albert Hein, Kristina Yordanova, Thomas KirsteKrüger Frank, Hein Albert, Yordanova Kristina, Kirste ThomasRecognising the actions during cooking task (Cooking task dataset) : [research data]Datenpublikationdata publicationUniversity of Rostock, 2011The dataset contains the data of acceleration sensors attached to a person during the execution of a kitchen task. It consists of 7 datasets that describe the execution of preparing and having a meal: preparing the ingredients, cooking, serving the meal, having a meal, cleaning the table, and…Frank KrügerAlbert HeinKristina YordanovaThomas KirsteRecognising the actions during cooking task (Cooking task dataset)[research data]Frank Krüger, Martin Nyolt, Kristina Yordanova, Albert Hein, and Thomas Kirste. Computational state space models for activity and intention recognition. a feasibility study. PLoS ONE, 9(11):e109381, 11 2014.Martin Nyolt, Frank Krüger, Kristina Yordanova, Albert Hein, and Thomas Kirste. Marginal filtering in large state spaces. International Journal of Approximate Reasoning, 61:16–32, June 2015.Martin Nyolt, Kristina Yordanova, and Thomas Kirste. Checking models for activity recognition. In Proceedings of the International Conference on Agents and Artificial Intelligence (ICAART), pages 497–502, Lisbon, Portugal, January 2015.Kristina Yordanova. Methods for Engineering Symbolic Human Behaviour Models for Activity Recognition. PhD thesis, Institute of Computer Science, Rostock, Germany, June 2014.Kristina Yordanova and Thomas Kirste. Towards systematic development of symbolic models for activity recognition in intelligent environments. In Proceedings of the 3rd Workshop on AI Problems and Approaches for Intelligent Environments held at ECAI 2014, Prague, Czech Republic, August 2014.Universitätsbibliothek Rostockhttp://purl.uni-rostock.de/rosdok/id00000116FrankKrüger1980 -VerfasserInaut10798759720000-0002-7925-3363University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems GroupAlbertHein1982 -VerfasserInaut1079876189University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems GroupKristinaYordanova1985 -VerfasserInaut10568927730000-0002-6428-1062University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems GroupThomasKirste1962 -VerfasserInaut137244754University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Group[purl]http://purl.uni-rostock.de/rosdok/id00000116[urn]urn:nbn:de:gbv:28-rosdok_id00000116-1[doi]10.18453/rosdok_id00000116open_access20112011epoch:21th_centuryrfc5646:endoctype:dataaccesscondition:openaccessSDNB:004institution:unirostock.iefstate:published