{"id":"https://openalex.org/W3083281679","doi":"https://doi.org/10.1145/3411836","title":"Robust Unsupervised Factory Activity Recognition with Body-worn Accelerometer Using Temporal Structure of Multiple Sensor Data Motifs","display_name":"Robust Unsupervised Factory Activity Recognition with Body-worn Accelerometer Using Temporal Structure of Multiple Sensor Data Motifs","publication_year":2020,"publication_date":"2020-09-04","ids":{"openalex":"https://openalex.org/W3083281679","doi":"https://doi.org/10.1145/3411836","mag":"3083281679"},"language":"en","primary_location":{"id":"doi:10.1145/3411836","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3411836","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3411836","source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3411836","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045950262","display_name":"Qingxin Xia","orcid":"https://orcid.org/0000-0003-0216-9179"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Qingxin Xia","raw_affiliation_strings":["Osaka University, Graduate School of Information Science and Technology, Suita, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Graduate School of Information Science and Technology, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076601437","display_name":"Joseph Korpela","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Joseph Korpela","raw_affiliation_strings":["Osaka University, Graduate School of Information Science and Technology, Suita, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Graduate School of Information Science and Technology, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043472678","display_name":"Yasuo Namioka","orcid":null},"institutions":[{"id":"https://openalex.org/I1292669757","display_name":"Toshiba (Japan)","ror":"https://ror.org/0326v3z14","country_code":"JP","type":"company","lineage":["https://openalex.org/I1292669757"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuo Namioka","raw_affiliation_strings":["Toshiba Corporation, Corporate Manufacturing Engineering Center, Yokohama, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Toshiba Corporation, Corporate Manufacturing Engineering Center, Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I1292669757"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039456378","display_name":"Takuya Maekawa","orcid":"https://orcid.org/0000-0002-7227-580X"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuya Maekawa","raw_affiliation_strings":["Osaka University, Graduate School of Information Science and Technology, Suita, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Graduate School of Information Science and Technology, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5045950262"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":3.1951,"has_fulltext":true,"cited_by_count":38,"citation_normalized_percentile":{"value":0.92761272,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"4","issue":"3","first_page":"1","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9997000098228455,"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"}},{"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":0.9966999888420105,"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/outlier","display_name":"Outlier","score":0.6912146806716919},{"id":"https://openalex.org/keywords/factory","display_name":"Factory (object-oriented programming)","score":0.6629586219787598},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6388101577758789},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5992701053619385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5492284297943115},{"id":"https://openalex.org/keywords/motif","display_name":"Motif (music)","score":0.5212960243225098},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.5013806819915771},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.46335744857788086},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4449229836463928},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4200226664543152},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3559250831604004},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33771997690200806}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6912146806716919},{"id":"https://openalex.org/C40149104","wikidata":"https://www.wikidata.org/wiki/Q5620977","display_name":"Factory (object-oriented programming)","level":2,"score":0.6629586219787598},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6388101577758789},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5992701053619385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5492284297943115},{"id":"https://openalex.org/C32276052","wikidata":"https://www.wikidata.org/wiki/Q908349","display_name":"Motif (music)","level":2,"score":0.5212960243225098},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.5013806819915771},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.46335744857788086},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4449229836463928},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4200226664543152},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3559250831604004},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33771997690200806},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3411836","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3411836","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3411836","source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3411836","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3411836","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3411836","source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.4699999988079071,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G1069223013","display_name":null,"funder_award_id":"JSPS KAKENHI","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G1648387003","display_name":null,"funder_award_id":"CREST JPMJCR15E2","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G193038087","display_name":null,"funder_award_id":"JST CREST","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G2370899176","display_name":null,"funder_award_id":"JP17H04679","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G2658578901","display_name":null,"funder_award_id":"JP16H06539 and JP17H04679","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G2792802287","display_name":null,"funder_award_id":"KAKENHI","funder_id":"https://openalex.org/F4320338075","funder_display_name":"Core Research for Evolutional Science and Technology"},{"id":"https://openalex.org/G3282004645","display_name":null,"funder_award_id":"JPMJCR","funder_id":"https://openalex.org/F4320338075","funder_display_name":"Core Research for Evolutional Science and Technology"},{"id":"https://openalex.org/G3459562248","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4227499671","display_name":null,"funder_award_id":"KAKENHI Grant","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4636223006","display_name":null,"funder_award_id":"JSPS KAK","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4879702906","display_name":null,"funder_award_id":"JPMJCR15E2","funder_id":"https://openalex.org/F4320338075","funder_display_name":"Core Research for Evolutional Science and Technology"},{"id":"https://openalex.org/G5786340949","display_name":null,"funder_award_id":"KAKENHI Grant Number","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6663919613","display_name":null,"funder_award_id":"JP16H06539","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6718509927","display_name":null,"funder_award_id":"CREST","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7537669788","display_name":null,"funder_award_id":"Scholarship","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G77289917","display_name":"Indoor Location Semantic Labeling with Mobile and Wearable Sensing","funder_award_id":"17H04679","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8309531418","display_name":null,"funder_award_id":"CREST JPMJCR15E2","funder_id":"https://openalex.org/F4320334896","funder_display_name":"Japan Agency for Marine-Earth Science and Technology"},{"id":"https://openalex.org/G8430481527","display_name":null,"funder_award_id":"Number","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8589651859","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320334896","display_name":"Japan Agency for Marine-Earth Science and Technology","ror":"https://ror.org/059qg2m13"},{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3083281679.pdf","grobid_xml":"https://content.openalex.org/works/W3083281679.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W179321503","https://openalex.org/W293018526","https://openalex.org/W650423210","https://openalex.org/W1537509622","https://openalex.org/W1590752906","https://openalex.org/W1595324333","https://openalex.org/W1897824230","https://openalex.org/W1980909913","https://openalex.org/W1988879366","https://openalex.org/W1993138654","https://openalex.org/W1995330098","https://openalex.org/W2015306494","https://openalex.org/W2019982045","https://openalex.org/W2052267684","https://openalex.org/W2066796814","https://openalex.org/W2070435806","https://openalex.org/W2075604331","https://openalex.org/W2077637577","https://openalex.org/W2099336098","https://openalex.org/W2110729448","https://openalex.org/W2114506737","https://openalex.org/W2124361375","https://openalex.org/W2128160875","https://openalex.org/W2132991226","https://openalex.org/W2136653859","https://openalex.org/W2143364815","https://openalex.org/W2148010363","https://openalex.org/W2171393861","https://openalex.org/W2278430059","https://openalex.org/W2295502584","https://openalex.org/W2473781013","https://openalex.org/W2489504684","https://openalex.org/W2510471593","https://openalex.org/W2514114051","https://openalex.org/W2888972189","https://openalex.org/W2997535048","https://openalex.org/W3000482929","https://openalex.org/W3011113468","https://openalex.org/W4230088311","https://openalex.org/W4255003900"],"related_works":["https://openalex.org/W2765080098","https://openalex.org/W2385749422","https://openalex.org/W2009888974","https://openalex.org/W2355290145","https://openalex.org/W2353465659","https://openalex.org/W3023105672","https://openalex.org/W2355539379","https://openalex.org/W2706752825","https://openalex.org/W3181401746","https://openalex.org/W2982423860"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,26,35,88,142,165],"robust":[4,89],"unsupervised":[5,52,66,135],"method":[6,93,235],"for":[7],"recognizing":[8],"factory":[9,22,50,53,67,90],"work":[10,28,117,152,159,174,204,218],"using":[11,236],"sensor":[12,46,97,237],"data":[13,47,98,144,166,238],"from":[14,48,240],"body-worn":[15],"acceleration":[16],"sensors.":[17],"In":[18,83],"line-production":[19],"systems,":[20],"each":[21,31,49,113,151,173,186,229],"worker":[23],"repetitively":[24],"performs":[25],"predefined":[27],"process":[29,32],"with":[30],"consisting":[33],"of":[34,37,40,115,126,156,202,228],"sequence":[36],"operations.":[38],"Because":[39],"the":[41,61,81,108,116,134,197,203,217,225,233],"difficulty":[42],"in":[43,60,112,150,172,185,242],"collecting":[44],"labeled":[45],"worker,":[51],"activity":[54,68,91],"recognition":[55,69,92,136],"has":[56],"been":[57],"attracting":[58],"attention":[59],"ubicomp":[62],"community.":[63],"However,":[64],"prior":[65],"methods":[70],"can":[71,101],"be":[72],"adversely":[73],"affected":[74],"by":[75,80,107],"any":[76],"outlier":[77,208],"activities":[78,209],"performed":[79,106,182],"workers.":[82],"this":[84,120],"study,":[85],"we":[86],"propose":[87],"that":[94,110,146,168,180],"tracks":[95],"frequent":[96],"motifs,":[99,132,212],"which":[100,213],"correspond":[102],"to":[103,177,194,222],"particular":[104],"actions":[105],"workers,":[109],"appear":[111],"iteration":[114,155],"processes.":[118],"Specifically,":[119],"study":[121],"proposes":[122],"tracking":[123],"two":[124],"types":[125],"motifs:":[127],"period":[128,139,153,190,205],"motifs":[129,191],"and":[130,200,245],"action":[131,162,179],"during":[133],"process.":[137],"A":[138],"motif":[140,163],"is":[141,164,181],"unique":[143],"segment":[145,167],"occurs":[147,169],"only":[148],"once":[149],"(one":[154],"an":[157,178],"overall":[158],"process).":[160],"An":[161],"several":[170,183],"times":[171,184],"period,":[175,219],"corresponding":[176],"period.":[187],"Tracking":[188],"multiple":[189],"enables":[192],"us":[193,221],"roughly":[195],"capture":[196],"temporal":[198],"structure":[199],"duration":[201],"even":[206],"when":[207],"occur.":[210],"Action":[211],"are":[214],"spread":[215],"throughout":[216],"permit":[220],"precisely":[223],"detect":[224],"start":[226],"time":[227],"operation.":[230],"We":[231],"evaluated":[232],"proposed":[234],"collected":[239],"workers":[241],"actual":[243],"factories":[244],"achieved":[246],"state-of-the-art":[247],"performance.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":5}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
