{"id":"https://openalex.org/W2155469951","doi":"https://doi.org/10.1109/tie.2010.2045992","title":"Behavior Learning in Dwelling Environments With Hidden Markov Models","display_name":"Behavior Learning in Dwelling Environments With Hidden Markov Models","publication_year":2010,"publication_date":"2010-03-24","ids":{"openalex":"https://openalex.org/W2155469951","doi":"https://doi.org/10.1109/tie.2010.2045992","mag":"2155469951"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2010.2045992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2010.2045992","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","raw_type":"journal-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/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, University of Technology, Vienna, Vienna, Austria","Institute of Computer Technology, Vienna University of Technology Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Technology, University of Technology, Vienna, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]},{"raw_affiliation_string":"Institute of Computer Technology, Vienna University of Technology Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047707033","display_name":"Rosemarie Velik","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":"Rosemarie Velik","raw_affiliation_strings":["Institute of Computer Technology, University of Technology, Vienna, Vienna, Austria","Institute of Computer Technology, Vienna University of Technology Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Technology, University of Technology, Vienna, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]},{"raw_affiliation_string":"Institute of Computer Technology, Vienna University of Technology Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.8123,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.96687443,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"57","issue":"11","first_page":"3653","last_page":"3660"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9986000061035156,"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":0.9986000061035156,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9836000204086304,"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"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9761999845504761,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.6660480499267578},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6401381492614746},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5406569838523865},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5136355757713318},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.47092241048812866},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4358510971069336},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.434164434671402},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.4242202639579773},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4105533957481384},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37206995487213135},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.25048089027404785},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09663701057434082}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6660480499267578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6401381492614746},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5406569838523865},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5136355757713318},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.47092241048812866},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4358510971069336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.434164434671402},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.4242202639579773},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4105533957481384},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37206995487213135},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25048089027404785},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09663701057434082},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tie.2010.2045992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2010.2045992","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W179500209","https://openalex.org/W1490014026","https://openalex.org/W1554663460","https://openalex.org/W1967932853","https://openalex.org/W1984962214","https://openalex.org/W1989239740","https://openalex.org/W2008114480","https://openalex.org/W2012914747","https://openalex.org/W2018294601","https://openalex.org/W2096301347","https://openalex.org/W2105080323","https://openalex.org/W2105594594","https://openalex.org/W2106276452","https://openalex.org/W2110089596","https://openalex.org/W2110685331","https://openalex.org/W2112337682","https://openalex.org/W2128026023","https://openalex.org/W2131044152","https://openalex.org/W2132648608","https://openalex.org/W2139202198","https://openalex.org/W2148104037","https://openalex.org/W2150591066","https://openalex.org/W2151108856","https://openalex.org/W2161697697","https://openalex.org/W2162995740","https://openalex.org/W2164691964","https://openalex.org/W2206185185","https://openalex.org/W2241532687","https://openalex.org/W2322393436","https://openalex.org/W2536122452","https://openalex.org/W2598912124","https://openalex.org/W3152317943","https://openalex.org/W3152850253","https://openalex.org/W4235797154","https://openalex.org/W4236706932","https://openalex.org/W4388297464","https://openalex.org/W6607264833","https://openalex.org/W6646819423","https://openalex.org/W6682094703","https://openalex.org/W6684187915"],"related_works":["https://openalex.org/W2364370872","https://openalex.org/W2053269318","https://openalex.org/W2025614924","https://openalex.org/W2294335174","https://openalex.org/W2097963413","https://openalex.org/W1591475660","https://openalex.org/W2001275470","https://openalex.org/W2073996508","https://openalex.org/W3145575561","https://openalex.org/W2164162849"],"abstract_inverted_index":{"Building":[0],"automation":[1],"systems":[2,31,42,60],"(BASs)":[3],"have":[4],"seen":[5],"widespread":[6],"distribution":[7],"also":[8],"in":[9,21,48,154],"private":[10],"residences":[11],"over":[12],"the":[13,22,128,135,140,147,155,158,169,176,179,184,187,195],"past":[14],"few":[15],"years.":[16],"The":[17,124],"ongoing":[18],"technological":[19],"developments":[20],"fields":[23],"of":[24,46,55,63,127,150,168,172,186],"sensors,":[25],"actuators,":[26],"as":[27,29],"well":[28],"embedded":[30],"lead":[32],"to":[33,72,78,90,97,100,120,133,163],"more":[34,36],"and":[35,38,103],"complex":[37],"larger":[39],"systems.":[40],"These":[41],"allow":[43],"ever-better":[44],"observations":[45],"activities":[47],"buildings":[49],"with":[50,61,80],"a":[51,75,122,144,165,173,189],"rapidly":[52],"growing":[53],"number":[54],"possible":[56],"applications.":[57],"Unfortunately,":[58],"control":[59,82],"lots":[62],"parameters,":[64],"which":[65],"would":[66],"be":[67,95,161],"normally":[68],"utilized,":[69],"are":[70,131],"hard":[71],"describe":[73],"and-from":[74],"context-deriving":[76],"view-hard":[77],"understand":[79],"standard":[81],"engineering":[83],"techniques.":[84],"This":[85],"paper":[86],"presents":[87],"an":[88],"approach":[89],"how":[91],"statistical":[92],"methods":[93],"can":[94,192],"applied":[96],"(future)":[98],"BASs":[99],"extract":[101],"semantic":[102,148],"context":[104,185],"information":[105],"from":[106],"sensor":[107,136,174,180],"data.":[108],"A":[109],"hierarchical":[110],"model":[111,129],"structure":[112,130],"based":[113],"on":[114],"hidden":[115],"Markov":[116],"models":[117],"is":[118,152],"proposed":[119],"establish":[121],"framework.":[123],"lower":[125],"levels":[126,142],"used":[132],"observe":[134],"values":[137],"themselves,":[138],"whereas":[139],"higher":[141],"provide":[143],"basis":[145],"for":[146],"interpretation":[149],"what":[151],"happening":[153],"building.":[156],"Ultimately,":[157],"system":[159],"should":[160],"able":[162],"give":[164],"condensed":[166],"overview":[167],"daily":[170],"routine":[171],"or":[175],"process":[177],"that":[178],"observes.":[181],"While":[182],"knowing":[183],"sensor,":[188],"human":[190],"operator":[191],"easily":[193],"interpret":[194],"result.":[196]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
