{"id":"https://openalex.org/W2044834648","doi":"https://doi.org/10.1109/iecon.2012.6389449","title":"Activity recognition using a hierarchical model","display_name":"Activity recognition using a hierarchical model","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2044834648","doi":"https://doi.org/10.1109/iecon.2012.6389449","mag":"2044834648"},"language":"en","primary_location":{"id":"doi:10.1109/iecon.2012.6389449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2012.6389449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037720900","display_name":"\u00c7a\u011flar T\u0131rkaz","orcid":null},"institutions":[{"id":"https://openalex.org/I134235054","display_name":"Sabanc\u0131 \u00dcniversitesi","ror":"https://ror.org/049asqa32","country_code":"TR","type":"education","lineage":["https://openalex.org/I134235054"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Caglar Tirkaz","raw_affiliation_strings":["Computer Science & Engineering, Sabanci University, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science & Engineering, Sabanci University, Istanbul, Turkey","institution_ids":["https://openalex.org/I134235054"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004110395","display_name":"Dietmar Bruckner","orcid":"https://orcid.org/0000-0001-7978-6998"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Dietmar Bruckner","raw_affiliation_strings":["Institute of Computer Technology, Vienna University of Technology, Austria","Inst. of Comput. Technol., Vienna Univ. of Technol., Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Technology, Vienna University of Technology, Austria","institution_ids":["https://openalex.org/I145847075"]},{"raw_affiliation_string":"Inst. of Comput. Technol., Vienna Univ. of Technol., Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026970854","display_name":"GuoQing Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"GuoQing Yin","raw_affiliation_strings":["Institute of Computer Technology, Vienna University of Technology, Austria","Inst. of Comput. Technol., Vienna Univ. of Technol., Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Technology, Vienna University of Technology, Austria","institution_ids":["https://openalex.org/I145847075"]},{"raw_affiliation_string":"Inst. of Comput. Technol., Vienna Univ. of Technol., Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084589828","display_name":"Jan Haase","orcid":"https://orcid.org/0000-0003-3021-9217"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Jan Haase","raw_affiliation_strings":["Institute of Computer Technology, Vienna University of Technology, Austria","Inst. of Comput. Technol., Vienna Univ. of Technol., Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Technology, Vienna University of Technology, Austria","institution_ids":["https://openalex.org/I145847075"]},{"raw_affiliation_string":"Inst. of Comput. Technol., Vienna Univ. of Technol., Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2776,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.57842748,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"2814","last_page":"2820"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/crfs","display_name":"CRFS","score":0.9359074831008911},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.8474020957946777},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.8232825994491577},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.809777557849884},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7537788152694702},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.659206748008728},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5459555387496948},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5402244329452515},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.44187408685684204},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4375709593296051},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3558754324913025}],"concepts":[{"id":"https://openalex.org/C2775953691","wikidata":"https://www.wikidata.org/wiki/Q5013874","display_name":"CRFS","level":3,"score":0.9359074831008911},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.8474020957946777},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.8232825994491577},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.809777557849884},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7537788152694702},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.659206748008728},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5459555387496948},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5402244329452515},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.44187408685684204},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4375709593296051},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3558754324913025},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iecon.2012.6389449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2012.6389449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.252.3875","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.252.3875","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W166763040","https://openalex.org/W1515369158","https://openalex.org/W1521452179","https://openalex.org/W1526362251","https://openalex.org/W1579030506","https://openalex.org/W1789617826","https://openalex.org/W1820875735","https://openalex.org/W2077964287","https://openalex.org/W2093467859","https://openalex.org/W2094468685","https://openalex.org/W2119821739","https://openalex.org/W2123277412","https://openalex.org/W2144836231","https://openalex.org/W2147880316","https://openalex.org/W2158683916","https://openalex.org/W2165480473","https://openalex.org/W4236342787","https://openalex.org/W4239510810","https://openalex.org/W6631399715","https://openalex.org/W6638168204","https://openalex.org/W6678075998","https://openalex.org/W6681556551","https://openalex.org/W6682082992"],"related_works":["https://openalex.org/W2055466819","https://openalex.org/W50079190","https://openalex.org/W2356597680","https://openalex.org/W182104056","https://openalex.org/W2111726165","https://openalex.org/W2011251309","https://openalex.org/W2796133761","https://openalex.org/W3088215229","https://openalex.org/W2511246383","https://openalex.org/W2184553228"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4,69],"a":[5,25,50,77],"human":[6],"daily":[7],"activity":[8],"recognition":[9,66],"method":[10],"that":[11,52],"is":[12,21],"used":[13],"for":[14],"Ambient":[15],"Assisted":[16],"Living.":[17],"The":[18],"proposed":[19,105],"system":[20],"able":[22],"to":[23,49,63,70],"learn":[24],"user's":[26],"activities":[27],"using":[28],"the":[29,42,47,99,104],"data":[30,44],"from":[31,41],"motion":[32],"and":[33,45,58,73,85,97,101],"door":[34],"sensors.":[35],"We":[36,68,94],"extract":[37],"low":[38],"level":[39,92],"features":[40,48],"sensor":[43],"feed":[46],"model":[51,79],"combines":[53],"support":[54],"vector":[55],"machines":[56],"(SVMs)":[57],"conditional":[59],"random":[60],"fields":[61],"(CRFs)":[62],"give":[64],"accurate":[65],"results.":[67],"combine":[71],"SVM":[72],"CRF":[74],"classifiers":[75],"in":[76,82],"hierarchical":[78],"which":[80],"results":[81],"better":[83],"accuracies":[84,102],"can":[86],"also":[87],"make":[88],"use":[89],"of":[90,103],"high":[91],"features.":[93],"conducted":[95],"experiments":[96],"presented":[98],"effectiveness":[100],"method.":[106]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}