{"id":"https://openalex.org/W3205379063","doi":"https://doi.org/10.3390/s21196677","title":"Investigation of Heterogeneity Sources for Occupational Task Recognition via Transfer Learning","display_name":"Investigation of Heterogeneity Sources for Occupational Task Recognition via Transfer Learning","publication_year":2021,"publication_date":"2021-10-08","ids":{"openalex":"https://openalex.org/W3205379063","doi":"https://doi.org/10.3390/s21196677","mag":"3205379063","pmid":"https://pubmed.ncbi.nlm.nih.gov/34641001"},"language":"en","primary_location":{"id":"doi:10.3390/s21196677","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21196677","pdf_url":"https://www.mdpi.com/1424-8220/21/19/6677/pdf?version=1633939033","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/19/6677/pdf?version=1633939033","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090829246","display_name":"Sahand Hajifar","orcid":"https://orcid.org/0000-0002-1905-7328"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sahand Hajifar","raw_affiliation_strings":["Department of Industrial & Systems Engineering, University at Buffalo, Buffalo, NY 14260, USA"],"raw_orcid":"https://orcid.org/0000-0002-1905-7328","affiliations":[{"raw_affiliation_string":"Department of Industrial & Systems Engineering, University at Buffalo, Buffalo, NY 14260, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056694823","display_name":"Saeb Ragani Lamooki","orcid":"https://orcid.org/0000-0002-4122-3548"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saeb Ragani Lamooki","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, University at Buffalo, Buffalo, NY 14260, USA"],"raw_orcid":"https://orcid.org/0000-0002-4122-3548","affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, University at Buffalo, Buffalo, NY 14260, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003545610","display_name":"Lora Cavuoto","orcid":"https://orcid.org/0000-0003-4717-8378"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lora A. Cavuoto","raw_affiliation_strings":["Department of Industrial & Systems Engineering, University at Buffalo, Buffalo, NY 14260, USA"],"raw_orcid":"https://orcid.org/0000-0003-4717-8378","affiliations":[{"raw_affiliation_string":"Department of Industrial & Systems Engineering, University at Buffalo, Buffalo, NY 14260, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024863972","display_name":"Fadel M. Megahed","orcid":"https://orcid.org/0000-0003-2194-5110"},"institutions":[{"id":"https://openalex.org/I83328450","display_name":"Miami University","ror":"https://ror.org/05nbqxr67","country_code":"US","type":"education","lineage":["https://openalex.org/I83328450"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fadel M. Megahed","raw_affiliation_strings":["Farmer School of Business, Miami University, Oxford, OH 45056, USA"],"raw_orcid":"https://orcid.org/0000-0003-2194-5110","affiliations":[{"raw_affiliation_string":"Farmer School of Business, Miami University, Oxford, OH 45056, USA","institution_ids":["https://openalex.org/I83328450"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090548569","display_name":"Hongyue Sun","orcid":"https://orcid.org/0000-0003-2871-5502"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hongyue Sun","raw_affiliation_strings":["Department of Industrial & Systems Engineering, University at Buffalo, Buffalo, NY 14260, USA"],"raw_orcid":"https://orcid.org/0000-0003-2871-5502","affiliations":[{"raw_affiliation_string":"Department of Industrial & Systems Engineering, University at Buffalo, Buffalo, NY 14260, USA","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5090548569"],"corresponding_institution_ids":["https://openalex.org/I63190737"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.291,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.5667651,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"21","issue":"19","first_page":"6677","last_page":"6677"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9983999729156494,"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":0.9983999729156494,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9653000235557556,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9387999773025513,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7377567887306213},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7037992477416992},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.69987553358078},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6950033903121948},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6367654800415039},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.6244816184043884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5800619125366211},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5531594753265381},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5320146083831787},{"id":"https://openalex.org/keywords/cross-validation","display_name":"Cross-validation","score":0.5156921148300171},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5055677890777588},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4753563106060028},{"id":"https://openalex.org/keywords/structured-support-vector-machine","display_name":"Structured support vector machine","score":0.44576138257980347},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43612220883369446},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4306921064853668},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14615076780319214}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7377567887306213},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7037992477416992},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.69987553358078},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6950033903121948},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6367654800415039},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.6244816184043884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5800619125366211},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5531594753265381},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5320146083831787},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.5156921148300171},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5055677890777588},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4753563106060028},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.44576138257980347},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43612220883369446},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4306921064853668},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14615076780319214},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D021641","descriptor_name":"Recognition, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021641","descriptor_name":"Recognition, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021641","descriptor_name":"Recognition, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21196677","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21196677","pdf_url":"https://www.mdpi.com/1424-8220/21/19/6677/pdf?version=1633939033","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:34641001","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34641001","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:1f520e60fc5b4818b023a47efef03964","is_oa":true,"landing_page_url":"https://doaj.org/article/1f520e60fc5b4818b023a47efef03964","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 19, p 6677 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/19/6677/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21196677","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 21; Issue 19; Pages: 6677","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8512259","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8512259","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21196677","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21196677","pdf_url":"https://www.mdpi.com/1424-8220/21/19/6677/pdf?version=1633939033","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8404251992","display_name":null,"funder_award_id":"1 R21OH011749-01","funder_id":"https://openalex.org/F4320332162","funder_display_name":"Centers for Disease Control and Prevention"}],"funders":[{"id":"https://openalex.org/F4320332162","display_name":"Centers for Disease Control and Prevention","ror":"https://ror.org/042twtr12"},{"id":"https://openalex.org/F4320333604","display_name":"GE Global Research","ror":"https://ror.org/03e06qt98"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3205379063.pdf"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W1852728451","https://openalex.org/W1882958252","https://openalex.org/W2005295545","https://openalex.org/W2053645861","https://openalex.org/W2064447488","https://openalex.org/W2073401630","https://openalex.org/W2087142053","https://openalex.org/W2107298017","https://openalex.org/W2110729448","https://openalex.org/W2111619626","https://openalex.org/W2112483442","https://openalex.org/W2115403315","https://openalex.org/W2128053425","https://openalex.org/W2140944144","https://openalex.org/W2149466042","https://openalex.org/W2158815628","https://openalex.org/W2167591140","https://openalex.org/W2278558884","https://openalex.org/W2285292066","https://openalex.org/W2507770079","https://openalex.org/W2516451702","https://openalex.org/W2595331287","https://openalex.org/W2611647730","https://openalex.org/W2613250750","https://openalex.org/W2748818549","https://openalex.org/W2799277183","https://openalex.org/W2884657991","https://openalex.org/W2886023867","https://openalex.org/W2887461387","https://openalex.org/W2890616297","https://openalex.org/W2896061677","https://openalex.org/W2906031885","https://openalex.org/W2919115771","https://openalex.org/W2927635891","https://openalex.org/W2940383374","https://openalex.org/W2973102973","https://openalex.org/W2980269067","https://openalex.org/W2981720610","https://openalex.org/W2983132501","https://openalex.org/W2986381065","https://openalex.org/W2990403021","https://openalex.org/W2997654184","https://openalex.org/W3000304787","https://openalex.org/W3004834163","https://openalex.org/W3011074022","https://openalex.org/W3011113468","https://openalex.org/W3015906308","https://openalex.org/W3040635344","https://openalex.org/W3047422066","https://openalex.org/W3084958888","https://openalex.org/W3093351461","https://openalex.org/W3093916778","https://openalex.org/W3094610636","https://openalex.org/W3097361065","https://openalex.org/W3098645631","https://openalex.org/W3111055412","https://openalex.org/W3111843927","https://openalex.org/W3113163751","https://openalex.org/W3146936494","https://openalex.org/W3175997029","https://openalex.org/W3181132381","https://openalex.org/W3190131667","https://openalex.org/W4230586052","https://openalex.org/W4311679242","https://openalex.org/W6639480849","https://openalex.org/W6676215431","https://openalex.org/W6676840641","https://openalex.org/W6683401423","https://openalex.org/W6799225132"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W3095487414","https://openalex.org/W4288048773","https://openalex.org/W2901026139"],"abstract_inverted_index":{"Human":[0],"activity":[1,14],"recognition":[2,15],"has":[3],"been":[4],"extensively":[5],"used":[6,114],"for":[7,143,171],"the":[8,30,59,117,132,141,153,169,182,199],"classification":[9,52,75,188],"of":[10,51,61,95,155,168,177,184],"occupational":[11],"tasks.":[12],"Existing":[13],"approaches":[16],"perform":[17],"well":[18],"when":[19],"training":[20,43],"and":[21,44,69,71,86,119,147,149,190],"testing":[22,45],"data":[23],"follow":[24],"an":[25],"identical":[26],"distribution.":[27],"However,":[28],"in":[29,49],"real":[31],"world,":[32],"this":[33],"condition":[34],"may":[35],"be":[36],"violated":[37],"due":[38],"to":[39,57,92,115,180,197],"existing":[40],"heterogeneities":[41],"among":[42],"data,":[46],"which":[47],"results":[48,129],"degradation":[50],"performance.":[53,76,200],"This":[54],"study":[55],"aims":[56],"investigate":[58,181],"impact":[60,183],"four":[62],"heterogeneity":[63,101,185],"sources,":[64],"cross-sensor,":[65,144,148],"cross-subject,":[66,70],"joint":[67,145],"cross-sensor":[68],"cross-scenario":[72,172],"heterogeneities,":[73],"on":[74,187],"To":[77],"that":[78,131,167],"end,":[79],"two":[80],"experiments":[81],"called":[82],"separate":[83],"task":[84,88],"scenario":[85,89],"mixed":[87],"were":[90],"conducted":[91],"simulate":[93],"tasks":[94,118],"electrical":[96],"line":[97],"workers":[98],"under":[99],"various":[100],"sources.":[102],"Furthermore,":[103],"a":[104,122],"support":[105,124,133,156],"vector":[106,125,134,157],"machine":[107,126,135,158],"classifier":[108],"equipped":[109,136,159],"with":[110,137,160],"domain":[111,138,161,194],"adaptation":[112,139,162,195],"was":[113,163],"classify":[116],"benchmarked":[120],"against":[121],"standard":[123],"baseline.":[127],"Our":[128],"demonstrated":[130],"outperformed":[140],"baseline":[142,170],"cross-subject":[146,150],"cases,":[151],"while":[152],"performance":[154,189],"not":[164],"better":[165],"than":[166],"case.":[173],"Therefore,":[174],"it":[175],"is":[176],"great":[178],"importance":[179],"sources":[186],"if":[191],"needed,":[192],"leverage":[193],"methods":[196],"improve":[198]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-29T09:21:14.243279","created_date":"2025-10-10T00:00:00"}