{"id":"https://openalex.org/W4248762213","doi":"https://doi.org/10.1109/wsc.2017.8247974","title":"Human activity recognition and mobile sensing for construction simulation","display_name":"Human activity recognition and mobile sensing for construction simulation","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W4248762213","doi":"https://doi.org/10.1109/wsc.2017.8247974"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2017.8247974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2017.8247974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Winter Simulation Conference (WSC)","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/A5048498927","display_name":"Nipun D. Nath","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nipun D. Nath","raw_affiliation_strings":["Department of Construction Science, Texas A&M University, College Station, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Construction Science, Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052467798","display_name":"Prabhat Shrestha","orcid":"https://orcid.org/0000-0002-5220-7156"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prabhat Shrestha","raw_affiliation_strings":["Department of Construction Science, Texas A&M University, College Station, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Construction Science, Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025182350","display_name":"Amir H. Behzadan","orcid":"https://orcid.org/0000-0001-7812-0481"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amir H. Behzadan","raw_affiliation_strings":["Department of Construction Science, Texas A&M University, College Station, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Construction Science, Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":0.8027,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7316828,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2448","last_page":"2459"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11006","display_name":"BIM and Construction Integration","score":0.9973000288009644,"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":0.9973000288009644,"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/T10809","display_name":"Occupational Health and Safety Research","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14011","display_name":"Elevator Systems and Control","score":0.965399980545044,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6823554635047913},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6785695552825928},{"id":"https://openalex.org/keywords/lagging","display_name":"Lagging","score":0.6010832786560059},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5610581636428833},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5604591369628906},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.5332282185554504},{"id":"https://openalex.org/keywords/productivity","display_name":"Productivity","score":0.5161267518997192},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.48855122923851013},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.4538182318210602},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.44827979803085327},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37917274236679077},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3319215774536133},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2106158435344696},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.20259380340576172}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6823554635047913},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6785695552825928},{"id":"https://openalex.org/C2776962539","wikidata":"https://www.wikidata.org/wiki/Q6472078","display_name":"Lagging","level":2,"score":0.6010832786560059},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5610581636428833},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5604591369628906},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.5332282185554504},{"id":"https://openalex.org/C204983608","wikidata":"https://www.wikidata.org/wiki/Q2111958","display_name":"Productivity","level":2,"score":0.5161267518997192},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.48855122923851013},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.4538182318210602},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.44827979803085327},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37917274236679077},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3319215774536133},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2106158435344696},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.20259380340576172},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","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/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc.2017.8247974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2017.8247974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W68199553","https://openalex.org/W293916754","https://openalex.org/W1598245783","https://openalex.org/W1964341000","https://openalex.org/W1977950491","https://openalex.org/W1980423348","https://openalex.org/W1983902753","https://openalex.org/W2002844166","https://openalex.org/W2082459479","https://openalex.org/W2087215846","https://openalex.org/W2096977665","https://openalex.org/W2140481308","https://openalex.org/W2145553914","https://openalex.org/W2409284243","https://openalex.org/W2540822603","https://openalex.org/W2626769561","https://openalex.org/W4234378972","https://openalex.org/W4240714353","https://openalex.org/W4251929792","https://openalex.org/W6610471430","https://openalex.org/W6728817311","https://openalex.org/W7065430587"],"related_works":["https://openalex.org/W2135562825","https://openalex.org/W3145783610","https://openalex.org/W2354181859","https://openalex.org/W2757096358","https://openalex.org/W2472614530","https://openalex.org/W2375646802","https://openalex.org/W2052668055","https://openalex.org/W2162038069","https://openalex.org/W627568556","https://openalex.org/W2358087883"],"abstract_inverted_index":{"Construction":[0],"industry":[1],"has":[2],"been":[3],"constantly":[4],"lagging":[5],"behind":[6],"in":[7,45],"terms":[8],"of":[9,23,73,134],"efficiency":[10],"and":[11,30,39,61,116,119,138,141,148],"productivity":[12,22],"growth.":[13],"Simulation":[14],"modeling":[15,28],"can":[16],"be":[17],"used":[18,56,100,142],"to":[19,101,113,143],"improve":[20],"the":[21,42,69,79,132,135],"construction":[24],"workflow":[25,145],"processes":[26],"through":[27],"uncertainties":[29],"stochastic":[31],"events":[32],"that":[33],"may":[34],"negatively":[35],"impact":[36],"project":[37],"cost":[38],"schedule.":[40],"In":[41],"research":[43],"presented":[44],"this":[46],"paper,":[47],"mobile":[48],"sensors":[49],"coupled":[50],"with":[51],"machine":[52,108],"learning":[53],"techniques":[54],"are":[55,99,122],"for":[57],"ubiquitous":[58],"data":[59],"collection":[60],"human":[62,97],"activity":[63,120],"recognition":[64],"(HAR),":[65],"which":[66,87],"will":[67],"constitute":[68],"key":[70],"input":[71],"parameters":[72],"process":[74],"simulation":[75,127],"modeling.":[76],"To":[77],"assess":[78],"designed":[80],"methodology,":[81],"an":[82],"experiment":[83],"is":[84,110,129],"carried":[85],"out":[86],"replicates":[88],"a":[89,126],"warehouse":[90],"quality":[91],"control":[92],"operation.":[93],"Smartphones":[94],"mounted":[95],"on":[96],"bodies":[98],"collect":[102],"multi-modal":[103],"time-motion":[104],"data.":[105],"Support":[106],"vector":[107],"(SVM)":[109],"then":[111],"applied":[112],"classify":[114],"workers'":[115],"inspectors'":[117],"activities,":[118],"durations":[121],"subsequently":[123],"extracted.":[124],"Finally,":[125],"model":[128],"built":[130],"using":[131],"output":[133],"HAR":[136],"phase":[137],"rigorously":[139],"validated":[140],"analyze":[144],"processes,":[146],"productivity,":[147],"bottlenecks.":[149]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}