{"id":"https://openalex.org/W2514114051","doi":"https://doi.org/10.1145/2971648.2971721","title":"Toward practical factory activity recognition","display_name":"Toward practical factory activity recognition","publication_year":2016,"publication_date":"2016-09-09","ids":{"openalex":"https://openalex.org/W2514114051","doi":"https://doi.org/10.1145/2971648.2971721","mag":"2514114051"},"language":"en","primary_location":{"id":"doi:10.1145/2971648.2971721","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2971648.2971721","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2971721&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=2971721&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039456378","display_name":"Takuya Maekawa","orcid":"https://orcid.org/0000-0002-7227-580X"},"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":true,"raw_author_name":"Takuya Maekawa","raw_affiliation_strings":["Osaka University, Toshiba Corporation"],"affiliations":[{"raw_affiliation_string":"Osaka University, Toshiba Corporation","institution_ids":["https://openalex.org/I1292669757"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069465979","display_name":"Daisuke Nakai","orcid":"https://orcid.org/0009-0009-3678-2976"},"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":"Daisuke Nakai","raw_affiliation_strings":["Osaka University, Toshiba Corporation"],"affiliations":[{"raw_affiliation_string":"Osaka University, Toshiba Corporation","institution_ids":["https://openalex.org/I1292669757"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102287273","display_name":"Kazuya Ohara","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":"Kazuya Ohara","raw_affiliation_strings":["Osaka University, Toshiba Corporation"],"affiliations":[{"raw_affiliation_string":"Osaka University, Toshiba Corporation","institution_ids":["https://openalex.org/I1292669757"]}]},{"author_position":"last","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":["Osaka University, Toshiba Corporation"],"affiliations":[{"raw_affiliation_string":"Osaka University, Toshiba Corporation","institution_ids":["https://openalex.org/I1292669757"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5039456378"],"corresponding_institution_ids":["https://openalex.org/I1292669757"],"apc_list":null,"apc_paid":null,"fwci":3.5071,"has_fulltext":true,"cited_by_count":64,"citation_normalized_percentile":{"value":0.95384899,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1088","last_page":"1099"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9970999956130981,"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":0.9970999956130981,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/factory","display_name":"Factory (object-oriented programming)","score":0.7385479211807251},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6630813479423523},{"id":"https://openalex.org/keywords/production-line","display_name":"Production line","score":0.6280592679977417},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.5516388416290283},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48356005549430847},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.44528311491012573},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4080516993999481},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.366976261138916},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3510172963142395},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22761419415473938}],"concepts":[{"id":"https://openalex.org/C40149104","wikidata":"https://www.wikidata.org/wiki/Q5620977","display_name":"Factory (object-oriented programming)","level":2,"score":0.7385479211807251},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6630813479423523},{"id":"https://openalex.org/C99862985","wikidata":"https://www.wikidata.org/wiki/Q10858068","display_name":"Production line","level":2,"score":0.6280592679977417},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.5516388416290283},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48356005549430847},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.44528311491012573},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4080516993999481},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.366976261138916},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3510172963142395},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22761419415473938},{"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2971648.2971721","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2971648.2971721","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2971721&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/2971648.2971721","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2971648.2971721","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2971721&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2514114051.pdf","grobid_xml":"https://content.openalex.org/works/W2514114051.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W114276366","https://openalex.org/W116902681","https://openalex.org/W293018526","https://openalex.org/W650423210","https://openalex.org/W1576369122","https://openalex.org/W1590752906","https://openalex.org/W1595324333","https://openalex.org/W1980909913","https://openalex.org/W1995330098","https://openalex.org/W2015306494","https://openalex.org/W2019982045","https://openalex.org/W2052267684","https://openalex.org/W2066646322","https://openalex.org/W2070435806","https://openalex.org/W2075604331","https://openalex.org/W2099336098","https://openalex.org/W2110729448","https://openalex.org/W2114506737","https://openalex.org/W2124361375","https://openalex.org/W2132991226","https://openalex.org/W2135450947","https://openalex.org/W2136653859","https://openalex.org/W2143364815","https://openalex.org/W2148010363","https://openalex.org/W2153786965","https://openalex.org/W2161629493","https://openalex.org/W2278430059","https://openalex.org/W2489504684","https://openalex.org/W4234468007"],"related_works":["https://openalex.org/W2765080098","https://openalex.org/W2385749422","https://openalex.org/W2355290145","https://openalex.org/W2353465659","https://openalex.org/W2009888974","https://openalex.org/W2355539379","https://openalex.org/W2056341223","https://openalex.org/W3023105672","https://openalex.org/W4231410700","https://openalex.org/W2706752825"],"abstract_inverted_index":{"In":[0],"a":[1,6,8,48,68,74],"line":[2,60],"production":[3,61],"system":[4],"of":[5,40,43,58,92,101],"factory,":[7],"worker":[9],"repetitively":[10],"performs":[11],"predefined":[12,88],"operation":[13,45,81,94],"processes.":[14],"This":[15],"paper":[16],"tries":[17],"to":[18,104],"recognize":[19],"work":[20],"by":[21],"factory":[22,115],"workers":[23],"in":[24,79],"an":[25,31,44],"unsupervised":[26,32],"manner.":[27],"Specifically,":[28],"we":[29],"propose":[30],"measurement":[33],"method":[34,65,112],"for":[35],"estimating":[36],"lead":[37,53,90,107],"time":[38,54,91],"(duration)":[39],"each":[41,80],"period":[42,82],"process":[46],"using":[47,83,113],"wrist-worn":[49],"accelerometer":[50],"because":[51],"the":[52,59,93,98,102,106,118],"greatly":[55],"affects":[56],"productivity":[57],"system.":[62],"Our":[63],"proposed":[64],"automatically":[66],"finds":[67],"frequent":[69],"sensor":[70],"data":[71,116],"segment":[72],"as":[73],"\"motif\"":[75],"that":[76],"occurs":[77],"once":[78],"only":[84,122],"prior":[85],"knowledge":[86],"about":[87,123],"standard":[89],"process,":[95],"and":[96,117],"uses":[97],"occurrence":[99],"intervals":[100],"motif":[103],"estimate":[105],"time.":[108],"We":[109],"evaluated":[110],"our":[111],"real":[114],"estimation":[119],"error":[120],"was":[121],"3.5%.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
