{"id":"https://openalex.org/W4395029339","doi":"https://doi.org/10.1109/percomworkshops59983.2024.10503195","title":"Preliminary Investigation of SSL for Complex Work Activity Recognition in Industrial Domain via MoIL","display_name":"Preliminary Investigation of SSL for Complex Work Activity Recognition in Industrial Domain via MoIL","publication_year":2024,"publication_date":"2024-03-11","ids":{"openalex":"https://openalex.org/W4395029339","doi":"https://doi.org/10.1109/percomworkshops59983.2024.10503195"},"language":"en","primary_location":{"id":"doi:10.1109/percomworkshops59983.2024.10503195","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/percomworkshops59983.2024.10503195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","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/A5045950262","display_name":"Qingxin Xia","orcid":"https://orcid.org/0000-0003-0216-9179"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Qingxin Xia","raw_affiliation_strings":["Osaka University, JP,Multimedia Engineering","Multimedia Engineering, Osaka University, JP"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University, JP,Multimedia Engineering","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Multimedia Engineering, Osaka University, JP","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","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":"The University of Osaka","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, JP,Multimedia Engineering","Multimedia Engineering, Osaka University, JP"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University, JP,Multimedia Engineering","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Multimedia Engineering, Osaka University, JP","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078270809","display_name":"Jaime G\u00f3mez\u2010Morales","orcid":"https://orcid.org/0000-0002-9395-7797"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jaime Morales","raw_affiliation_strings":["Osaka University, JP,Multimedia Engineering","Multimedia Engineering, Osaka University, JP"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University, JP,Multimedia Engineering","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Multimedia Engineering, Osaka University, JP","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012025870","display_name":"Takahiro Hara","orcid":"https://orcid.org/0000-0003-4807-3156"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Hara","raw_affiliation_strings":["Osaka University, JP,Multimedia Engineering","Multimedia Engineering, Osaka University, JP"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University, JP,Multimedia Engineering","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Multimedia Engineering, Osaka University, JP","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059720489","display_name":"Hirotomo Oshima","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":"Hirotomo Oshima","raw_affiliation_strings":["Center, Toshiba Corporation,Corporate Manufacturing Engineering","Corporate Manufacturing Engineering, Center, Toshiba Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center, Toshiba Corporation,Corporate Manufacturing Engineering","institution_ids":["https://openalex.org/I1292669757"]},{"raw_affiliation_string":"Corporate Manufacturing Engineering, Center, Toshiba Corporation","institution_ids":["https://openalex.org/I1292669757"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070551501","display_name":"Masamitsu Fukuda","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":"Masamitsu Fukuda","raw_affiliation_strings":["Center, Toshiba Corporation,Corporate Manufacturing Engineering","Corporate Manufacturing Engineering, Center, Toshiba Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center, Toshiba Corporation,Corporate Manufacturing Engineering","institution_ids":["https://openalex.org/I1292669757"]},{"raw_affiliation_string":"Corporate Manufacturing Engineering, Center, 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":["Center, Toshiba Corporation,Corporate Manufacturing Engineering","Corporate Manufacturing Engineering, Center, Toshiba Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center, Toshiba Corporation,Corporate Manufacturing Engineering","institution_ids":["https://openalex.org/I1292669757"]},{"raw_affiliation_string":"Corporate Manufacturing Engineering, Center, Toshiba Corporation","institution_ids":["https://openalex.org/I1292669757"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"465","last_page":"468"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9993000030517578,"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":0.9993000030517578,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9976000189781189,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.983299970626831,"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/computer-science","display_name":"Computer science","score":0.6758479475975037},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5732013583183289},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.48984619975090027},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33557090163230896},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16618281602859497},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06398886442184448},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.058888018131256104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6758479475975037},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5732013583183289},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.48984619975090027},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33557090163230896},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16618281602859497},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06398886442184448},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.058888018131256104},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percomworkshops59983.2024.10503195","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/percomworkshops59983.2024.10503195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1989037929","https://openalex.org/W2548335893","https://openalex.org/W2962728655","https://openalex.org/W2972118594","https://openalex.org/W2997535048","https://openalex.org/W3083367988","https://openalex.org/W3089186933","https://openalex.org/W3099025572","https://openalex.org/W4284897674","https://openalex.org/W4293100434","https://openalex.org/W4294891660","https://openalex.org/W4394711804","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0,88],"this":[1,89],"study,":[2,90],"we":[3,91],"investigate":[4],"a":[5,106,111,119,126],"new":[6],"self-supervised":[7,130],"learning":[8,131],"(SSL)":[9],"approach":[10,176],"for":[11,30,40],"complex":[12,50],"work":[13,51,159,181],"activity":[14,32,108,160,164,182],"recognition":[15,33,165],"using":[16],"wearable":[17],"sensors.":[18],"Owing":[19],"to":[20,49,74,97,124],"the":[21,60,70,77,80,83,138,150,155],"cost":[22],"of":[23,72,79,85,137],"labeled":[24,171],"sensor":[25,94],"data":[26,39,62,95,103,183],"collection,":[27],"SSL":[28,48],"methods":[29],"human":[31],"(HAR)":[34],"that":[35,133],"effectively":[36],"use":[37],"unlabeled":[38],"pretraining":[41],"have":[42],"attracted":[43],"attention.":[44],"However,":[45],"applying":[46],"prior":[47],"activities":[52],"such":[53,68,109],"as":[54,69,110],"packaging":[55,86],"works":[56],"is":[57,152],"challenging":[58],"because":[59],"observed":[61],"vary":[63],"considerably":[64],"depending":[65],"on":[66,93,179],"situations":[67],"number":[71],"items":[73,81],"pack":[75],"and":[76,99,122,184],"size":[78],"in":[82,105,116,129,149,154],"case":[84],"works.":[87],"focus":[92],"corresponding":[96],"characteristic":[98,139,167],"necessary":[100],"actions":[101,168],"(sensor":[102],"motifs)":[104],"specific":[107],"stretching":[112],"packing":[113],"tape":[114],"action":[115],"an":[117],"assembling":[118],"box":[120],"activity,":[121],"try":[123],"train":[125],"neural":[127],"network":[128,151],"so":[132],"it":[134,185],"identifies":[135],"occurrences":[136],"actions,":[140],"i.e.,":[141,158],"Motif":[142],"Identification":[143],"Learning":[144],"(MoIL).":[145],"The":[146,174],"feature":[147],"extractor":[148],"used":[153],"downstream":[156],"task,":[157],"recognition,":[161],"enabling":[162],"precise":[163],"containing":[166],"with":[169],"limited":[170,190],"training":[172,191],"data.":[173],"MoIL":[175],"was":[177],"evaluated":[178],"real-world":[180],"achieved":[186],"state-of-the-art":[187],"performance":[188],"under":[189],"labels.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
