{"id":"https://openalex.org/W3176589713","doi":"https://doi.org/10.1109/ice/itmc52061.2021.9570272","title":"Equipment data-based activity recognition of construction machinery","display_name":"Equipment data-based activity recognition of construction machinery","publication_year":2021,"publication_date":"2021-06-21","ids":{"openalex":"https://openalex.org/W3176589713","doi":"https://doi.org/10.1109/ice/itmc52061.2021.9570272","mag":"3176589713"},"language":"en","primary_location":{"id":"doi:10.1109/ice/itmc52061.2021.9570272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ice/itmc52061.2021.9570272","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)","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/A5083742119","display_name":"Anne Fischer","orcid":"https://orcid.org/0000-0002-2106-3735"},"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":"Anne Fischer","raw_affiliation_strings":["Chair of Materials Handling, Material Flow and Logistics Technical University of Munich, Garching/Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Materials Handling, Material Flow and Logistics Technical University of Munich, Garching/Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070105523","display_name":"Alexandre Beiderwellen Bedrikow","orcid":"https://orcid.org/0000-0001-7934-8410"},"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":"Alexandre Beiderwellen Bedrikow","raw_affiliation_strings":["Chair of Materials Handling, Material Flow and Logistics Technical University of Munich, Garching/Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Materials Handling, Material Flow and Logistics Technical University of Munich, Garching/Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110764304","display_name":"Stephan Kessler","orcid":null},"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":"Stephan Kessler","raw_affiliation_strings":["Chair of Materials Handling, Material Flow and Logistics Technical University of Munich, Garching/Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Materials Handling, Material Flow and Logistics Technical University of Munich, Garching/Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103029113","display_name":"Johannes Fottner","orcid":"https://orcid.org/0000-0001-6392-0371"},"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":"Johannes Fottner","raw_affiliation_strings":["Chair of Materials Handling, Material Flow and Logistics Technical University of Munich, Garching/Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Materials Handling, Material Flow and Logistics Technical University of Munich, Garching/Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":0.9657,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70269329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11006","display_name":"BIM and Construction Integration","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11006","display_name":"BIM and Construction Integration","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9847000241279602,"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":0.9817000031471252,"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/baseline","display_name":"Baseline (sea)","score":0.7034774422645569},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6947042942047119},{"id":"https://openalex.org/keywords/gyroscope","display_name":"Gyroscope","score":0.5953179597854614},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.5945919752120972},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5914886593818665},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.562048077583313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5140891671180725},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49295949935913086},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.45284852385520935},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4513052701950073},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4482809901237488},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.42783811688423157},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3708606958389282},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24360764026641846},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1416981816291809}],"concepts":[{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.7034774422645569},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6947042942047119},{"id":"https://openalex.org/C158488048","wikidata":"https://www.wikidata.org/wiki/Q483400","display_name":"Gyroscope","level":2,"score":0.5953179597854614},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.5945919752120972},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5914886593818665},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.562048077583313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5140891671180725},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49295949935913086},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.45284852385520935},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4513052701950073},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4482809901237488},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.42783811688423157},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3708606958389282},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24360764026641846},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1416981816291809},{"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ice/itmc52061.2021.9570272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ice/itmc52061.2021.9570272","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)","raw_type":"proceedings-article"},{"id":"pmh:oai:mediatum.ub.tum.de:node/1633184","is_oa":false,"landing_page_url":"https://mediatum.ub.tum.de/1633184","pdf_url":null,"source":{"id":"https://openalex.org/S4306400453","display_name":"mediaTUM \u2013 the media and publications repository of the Technical University Munich (Technical University Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"ConferencePaper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2002844166","https://openalex.org/W2064675550","https://openalex.org/W2082459479","https://openalex.org/W2089253196","https://openalex.org/W2270470215","https://openalex.org/W2907255073","https://openalex.org/W2919115771","https://openalex.org/W2944851425","https://openalex.org/W2954350473","https://openalex.org/W2963716982","https://openalex.org/W2999291394","https://openalex.org/W3008741834","https://openalex.org/W3010891636","https://openalex.org/W3021673939","https://openalex.org/W3111839142","https://openalex.org/W3167857852","https://openalex.org/W6796237241"],"related_works":["https://openalex.org/W2356006086","https://openalex.org/W1973973903","https://openalex.org/W2545168295","https://openalex.org/W2365897603","https://openalex.org/W4234814094","https://openalex.org/W2156308897","https://openalex.org/W4303613760","https://openalex.org/W2361871310","https://openalex.org/W2417246878","https://openalex.org/W1982154684"],"abstract_inverted_index":{"Heavy":[0],"equipment":[1,30,57,79],"plays":[2],"an":[3],"essential":[4],"role":[5],"in":[6],"construction":[7],"projects.":[8],"However,":[9,53],"to":[10,62,137],"optimize":[11],"the":[12,21,25,29,40,51,69,83,86,111,114,138,142,145],"allocation":[13],"of":[14,24,28,42,56,71,100,113,116,144],"that":[15],"resource":[16],"(e.g.,":[17],"via":[18],"discrete-event":[19],"simulation),":[20],"correct":[22],"monitoring":[23],"current":[26],"usage":[27],"is":[31,94,119,148],"imperative.":[32],"Machine":[33],"learning":[34],"methods":[35],"are":[36,124],"usually":[37],"based":[38,75,95],"on":[39,50,76,96],"mounting":[41],"additional":[43,89],"sensors":[44],"such":[45],"as":[46],"accelerometers":[47],"or":[48],"gyroscopes":[49],"equipment.":[52],"many":[54],"kinds":[55],"already":[58,77],"transmit":[59],"production":[60],"data":[61,80],"a":[63],"proprietary":[64],"platform.":[65],"This":[66],"paper":[67],"explores":[68],"possibilities":[70],"performing":[72],"activity":[73],"recognition":[74],"available":[78],"transmitted":[81],"by":[82],"equipment,":[84],"without":[85],"need":[87],"for":[88],"sensors.":[90],"The":[91,121],"proposed":[92],"approach":[93],"hybrid":[97,122,131],"models":[98,123,132],"consisting":[99],"convolutional":[101],"neural":[102,107],"networks":[103,108],"(CNN)":[104],"and":[105],"recurrent":[106],"(RNN).":[109],"Additionally,":[110],"influence":[112,143],"use":[115],"bidirectional":[117],"RNN":[118],"investigated.":[120],"compared":[125,136],"with":[126],"other":[127],"baseline":[128,139],"models.":[129,140],"Both":[130],"demonstrate":[133],"good":[134],"results":[135],"Furthermore,":[141],"sample":[146],"size":[147],"examined.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}