{"id":"https://openalex.org/W2073018102","doi":"https://doi.org/10.1109/roman.2014.6926339","title":"A Bayesian approach for task recognition and future human activity prediction","display_name":"A Bayesian approach for task recognition and future human activity prediction","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2073018102","doi":"https://doi.org/10.1109/roman.2014.6926339","mag":"2073018102"},"language":"en","primary_location":{"id":"doi:10.1109/roman.2014.6926339","is_oa":false,"landing_page_url":"https://doi.org/10.1109/roman.2014.6926339","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 23rd IEEE International Symposium on Robot and Human Interactive Communication","raw_type":"proceedings-article"},"type":"conference-paper","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/A5081555103","display_name":"Vito Magnanimo","orcid":null},"institutions":[{"id":"https://openalex.org/I119916105","display_name":"Augsburg University","ror":"https://ror.org/057ewhh68","country_code":"US","type":"education","lineage":["https://openalex.org/I119916105"]},{"id":"https://openalex.org/I4210129999","display_name":"KUKA (Germany)","ror":"https://ror.org/02y22dj89","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210129999"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Vito Magnanimo","raw_affiliation_strings":["Technologieentwicklung, Kuka Laboratories GmbH, Augsburg, Germany","Kuka Laboratories GmbH, Technologieentwicklung, Augsburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technologieentwicklung, Kuka Laboratories GmbH, Augsburg, Germany","institution_ids":["https://openalex.org/I4210129999"]},{"raw_affiliation_string":"Kuka Laboratories GmbH, Technologieentwicklung, Augsburg, Germany","institution_ids":["https://openalex.org/I119916105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031898170","display_name":"Matteo Saveriano","orcid":"https://orcid.org/0000-0002-9784-3973"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matteo Saveriano","raw_affiliation_strings":["Fakult\u00e4t f\u00fcr Elektrotechnik und Informationstechnik, Technische Universitat M\u00fcnchen Munich, Germany","Fakult\u00e4t f\u00fcr Elektrotechnik und Informationstechnik, Technische Universit \u00e4t M\u00fcnchen, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fakult\u00e4t f\u00fcr Elektrotechnik und Informationstechnik, Technische Universitat M\u00fcnchen Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Fakult\u00e4t f\u00fcr Elektrotechnik und Informationstechnik, Technische Universit \u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046630253","display_name":"Silvia Rossi","orcid":"https://orcid.org/0000-0002-3379-1756"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Silvia Rossi","raw_affiliation_strings":["Dipartimento di Ingegneria Elettrica e Tecnologie dell'Informazione, Universit\u00e1 degli Studi di Napoli Federico II, Naples, Italy","Dipartimento di Ingegneria Elettrica e Tecnologie dell'Informazione Universit\u00e0 degli Studi di Napoli Federico II  Naples Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria Elettrica e Tecnologie dell'Informazione, Universit\u00e1 degli Studi di Napoli Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]},{"raw_affiliation_string":"Dipartimento di Ingegneria Elettrica e Tecnologie dell'Informazione Universit\u00e0 degli Studi di Napoli Federico II  Naples Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088081800","display_name":"Dongheui Lee","orcid":"https://orcid.org/0000-0003-1897-7664"},"institutions":[{"id":"https://openalex.org/I119916105","display_name":"Augsburg University","ror":"https://ror.org/057ewhh68","country_code":"US","type":"education","lineage":["https://openalex.org/I119916105"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Dongheui Lee","raw_affiliation_strings":["Fakult\u00e4t f\u00fcr Elektrotechnik und Informationstechnik, Technische Universitat M\u00fcnchen Munich, Germany","Kuka Laboratories GmbH, Technologieentwicklung, Augsburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fakult\u00e4t f\u00fcr Elektrotechnik und Informationstechnik, Technische Universitat M\u00fcnchen Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Kuka Laboratories GmbH, Technologieentwicklung, Augsburg, Germany","institution_ids":["https://openalex.org/I119916105"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9778,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.92101266,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"726","last_page":"731"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9937000274658203,"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/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7719390392303467},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7513357400894165},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.7469198107719421},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.679458498954773},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6183412075042725},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5740282535552979},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.5420982837677002},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5208969116210938},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5184880495071411},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5009369850158691},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4946102797985077},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4933291971683502},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.4193163216114044},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.41295039653778076},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09209844470024109}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7719390392303467},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7513357400894165},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.7469198107719421},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.679458498954773},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6183412075042725},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5740282535552979},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.5420982837677002},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5208969116210938},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5184880495071411},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5009369850158691},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4946102797985077},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4933291971683502},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4193163216114044},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.41295039653778076},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09209844470024109},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/roman.2014.6926339","is_oa":false,"landing_page_url":"https://doi.org/10.1109/roman.2014.6926339","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 23rd IEEE International Symposium on Robot and Human Interactive Communication","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.706.3370","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.706.3370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.hri.ei.tum.de/fileadmin/w00bsw/www/pdf/bayesian_task_recognition.pdf","raw_type":"text"},{"id":"pmh:oai:iris.unitn.it:11572/331027","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6926339","pdf_url":null,"source":{"id":"https://openalex.org/S4377196320","display_name":"Iris (University of Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W170770739","https://openalex.org/W1004103604","https://openalex.org/W1503398984","https://openalex.org/W1506806321","https://openalex.org/W1989111654","https://openalex.org/W1995260179","https://openalex.org/W1999740618","https://openalex.org/W2008950333","https://openalex.org/W2009570821","https://openalex.org/W2010409528","https://openalex.org/W2045225768","https://openalex.org/W2065873960","https://openalex.org/W2081529313","https://openalex.org/W2087525147","https://openalex.org/W2091088554","https://openalex.org/W2106833577","https://openalex.org/W2110575115","https://openalex.org/W2119852072","https://openalex.org/W2125838338","https://openalex.org/W2152864241","https://openalex.org/W2155029453","https://openalex.org/W4245668478","https://openalex.org/W6626304648","https://openalex.org/W6649002235","https://openalex.org/W6652590272","https://openalex.org/W6670787544","https://openalex.org/W6676404962"],"related_works":["https://openalex.org/W3128072696","https://openalex.org/W1975325338","https://openalex.org/W2405411278","https://openalex.org/W2578973671","https://openalex.org/W25758512","https://openalex.org/W2215058820","https://openalex.org/W2157783866","https://openalex.org/W2097663773","https://openalex.org/W1602184117","https://openalex.org/W2413421635"],"abstract_inverted_index":{"Task":[0],"recognition":[1],"and":[2,13,59,78,82,109],"future":[3,105],"human":[4],"activity":[5],"prediction":[6],"are":[7,84],"of":[8,30,56,107,115,124,127,131],"importance":[9],"for":[10,96],"a":[11,54,67,122,132],"safe":[12],"profitable":[14],"human-robot":[15],"cooperation.":[16],"In":[17,42],"real":[18],"scenarios,":[19],"the":[20,28,31,37,98,102,116],"robot":[21],"has":[22],"to":[23],"extract":[24],"this":[25,43],"information":[26,35],"merging":[27],"knowledge":[29],"task":[32,63],"with":[33,66],"contextual":[34],"from":[36,88],"sensors,":[38],"minimizing":[39],"possible":[40,111],"misunderstandings.":[41],"paper,":[44],"we":[45],"focus":[46],"on":[47,121],"tasks":[48,130],"that":[49],"can":[50],"be":[51],"represented":[52],"as":[53,74],"sequence":[55],"manipulated":[57,76],"objects":[58,77],"performed":[60,79],"actions.":[61,80],"The":[62,92,113],"is":[64,94,119],"modelled":[65],"Dynamic":[68],"Bayesian":[69],"Network":[70],"(DBN),":[71],"which":[72],"takes":[73],"input":[75],"Objects":[81],"actions":[83],"separately":[85],"classified":[86],"starting":[87],"RGB-D":[89],"raw":[90],"data.":[91],"DBN":[93],"responsible":[95],"estimating":[97],"current":[99],"task,":[100],"predicting":[101],"most":[103],"probable":[104],"pairs":[106],"action-object":[108],"correcting":[110],"misclassification.":[112],"effectiveness":[114],"proposed":[117],"approach":[118],"validated":[120],"case":[123],"study,":[125],"consisting":[126],"three":[128],"typical":[129],"kitchen":[133],"scenario.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
