{"id":"https://openalex.org/W4324148957","doi":"https://doi.org/10.3390/s23063081","title":"Domain Adaptation Methods for Lab-to-Field Human Context Recognition","display_name":"Domain Adaptation Methods for Lab-to-Field Human Context Recognition","publication_year":2023,"publication_date":"2023-03-13","ids":{"openalex":"https://openalex.org/W4324148957","doi":"https://doi.org/10.3390/s23063081","pmid":"https://pubmed.ncbi.nlm.nih.gov/36991791"},"language":"en","primary_location":{"id":"doi:10.3390/s23063081","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23063081","pdf_url":"https://www.mdpi.com/1424-8220/23/6/3081/pdf?version=1678795349","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/1424-8220/23/6/3081/pdf?version=1678795349","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080759126","display_name":"Abdulaziz Alajaji","orcid":"https://orcid.org/0000-0001-6725-4054"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abdulaziz Alajaji","raw_affiliation_strings":["Data Science, Worcester Polytechnic Institute, Worcester, MA 01609, USA"],"raw_orcid":"https://orcid.org/0000-0001-6725-4054","affiliations":[{"raw_affiliation_string":"Data Science, Worcester Polytechnic Institute, Worcester, MA 01609, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065984527","display_name":"Walter Gerych","orcid":"https://orcid.org/0000-0002-1194-1493"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Walter Gerych","raw_affiliation_strings":["Data Science, Worcester Polytechnic Institute, Worcester, MA 01609, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science, Worcester Polytechnic Institute, Worcester, MA 01609, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049174012","display_name":"Luke Buquicchio","orcid":"https://orcid.org/0000-0002-9639-8660"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luke Buquicchio","raw_affiliation_strings":["Data Science, Worcester Polytechnic Institute, Worcester, MA 01609, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science, Worcester Polytechnic Institute, Worcester, MA 01609, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062385338","display_name":"Kavin Chandrasekaran","orcid":"https://orcid.org/0000-0001-6212-2693"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kavin Chandrasekaran","raw_affiliation_strings":["Data Science, Worcester Polytechnic Institute, Worcester, MA 01609, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science, Worcester Polytechnic Institute, Worcester, MA 01609, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026285280","display_name":"Hamid Mansoor","orcid":"https://orcid.org/0000-0003-1970-6049"},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hamid Mansoor","raw_affiliation_strings":["Department of Computer Science, University of Victoria, Victoria, BC V8P 5C2, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Victoria, Victoria, BC V8P 5C2, Canada","institution_ids":["https://openalex.org/I212119943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003809101","display_name":"Emmanuel Agu","orcid":"https://orcid.org/0000-0002-3361-4952"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Emmanuel Agu","raw_affiliation_strings":["Data Science, Worcester Polytechnic Institute, Worcester, MA 01609, USA"],"raw_orcid":"https://orcid.org/0000-0002-3361-4952","affiliations":[{"raw_affiliation_string":"Data Science, Worcester Polytechnic Institute, Worcester, MA 01609, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008269094","display_name":"Elke A. Rundensteiner","orcid":"https://orcid.org/0000-0001-5375-9254"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elke Rundensteiner","raw_affiliation_strings":["Data Science, Worcester Polytechnic Institute, Worcester, MA 01609, USA"],"raw_orcid":"https://orcid.org/0000-0001-5375-9254","affiliations":[{"raw_affiliation_string":"Data Science, Worcester Polytechnic Institute, Worcester, MA 01609, USA","institution_ids":["https://openalex.org/I107077323"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5003809101"],"corresponding_institution_ids":["https://openalex.org/I107077323"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.4553,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62091844,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"23","issue":"6","first_page":"3081","last_page":"3081"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9990000128746033,"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"}},"topics":[{"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9965000152587891,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9932000041007996,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7476922273635864},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7396395206451416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6672660112380981},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6299393177032471},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5069029927253723},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4904744327068329},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.47475746273994446},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.43295007944107056},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4287572503089905},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42017343640327454},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4166019558906555},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4114745855331421},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.09730967879295349}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7476922273635864},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7396395206451416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6672660112380981},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6299393177032471},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5069029927253723},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4904744327068329},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.47475746273994446},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.43295007944107056},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4287572503089905},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42017343640327454},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4166019558906555},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4114745855331421},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.09730967879295349},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000064","descriptor_name":"Acclimatization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000064","descriptor_name":"Acclimatization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000064","descriptor_name":"Acclimatization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000068997","descriptor_name":"Smartphone","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000068997","descriptor_name":"Smartphone","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000068997","descriptor_name":"Smartphone","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D011996","descriptor_name":"Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011996","descriptor_name":"Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011996","descriptor_name":"Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":6,"locations":[{"id":"doi:10.3390/s23063081","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23063081","pdf_url":"https://www.mdpi.com/1424-8220/23/6/3081/pdf?version=1678795349","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:36991791","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36991791","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:pubmedcentral.nih.gov:10051425","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10051425","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10051425/pdf/sensors-23-03081.pdf","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"},{"id":"pmh:oai:doaj.org/article:533c96b7dded4e0eaac2859596dc87ad","is_oa":true,"landing_page_url":"https://doaj.org/article/533c96b7dded4e0eaac2859596dc87ad","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 23, Iss 6, p 3081 (2023)","raw_type":"article"},{"id":"pmh:oai:dspace.library.uvic.ca:1828/15918","is_oa":false,"landing_page_url":"http://hdl.handle.net/1828/15918","pdf_url":null,"source":{"id":"https://openalex.org/S4306401509","display_name":"UVic\u2019s Research and Learning Repository (University of Victoria)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I212119943","host_organization_name":"University of Victoria","host_organization_lineage":["https://openalex.org/I212119943"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/6/3081/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23063081","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 23; Issue 6; Pages: 3081","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23063081","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23063081","pdf_url":"https://www.mdpi.com/1424-8220/23/6/3081/pdf?version=1678795349","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":[{"score":0.699999988079071,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1099294102","display_name":null,"funder_award_id":"FA8750-18-2-0077","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G4713059963","display_name":null,"funder_award_id":"FA8750","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320317074","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4324148957.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1731081199","https://openalex.org/W1977005232","https://openalex.org/W2028138594","https://openalex.org/W2034368206","https://openalex.org/W2057907879","https://openalex.org/W2096733369","https://openalex.org/W2110097068","https://openalex.org/W2126511896","https://openalex.org/W2187089797","https://openalex.org/W2219995598","https://openalex.org/W2467286621","https://openalex.org/W2512564223","https://openalex.org/W2746791238","https://openalex.org/W2795423566","https://openalex.org/W2811277026","https://openalex.org/W2888680699","https://openalex.org/W2963373106","https://openalex.org/W3003872109","https://openalex.org/W3011074022","https://openalex.org/W3011113468","https://openalex.org/W3012409400","https://openalex.org/W3080108946","https://openalex.org/W3130885482","https://openalex.org/W3166187222","https://openalex.org/W4281710836","https://openalex.org/W6637618735","https://openalex.org/W6774938909"],"related_works":["https://openalex.org/W2729514902","https://openalex.org/W2024160000","https://openalex.org/W4287995534","https://openalex.org/W2998168123","https://openalex.org/W2061273563","https://openalex.org/W2905846897","https://openalex.org/W2970216048","https://openalex.org/W2507989420","https://openalex.org/W4283820830","https://openalex.org/W4283387534"],"abstract_inverted_index":{"Human":[0],"context":[1],"recognition":[2],"(HCR)":[3],"using":[4,29],"sensor":[5],"data":[6,79,100],"is":[7,108],"a":[8,86,98,103,115,132],"crucial":[9],"task":[10],"in":[11,15,161],"Context-Aware":[12],"(CA)":[13],"applications":[14],"domains":[16],"such":[17],"as":[18],"healthcare":[19],"and":[20,85,92,147,174,187,191,198,205],"security.":[21],"Supervised":[22,50],"machine":[23,51],"learning":[24,52],"HCR":[25,31,53,72,196,201],"models":[26,54,73,202],"are":[27,34,41,67],"trained":[28],"smartphone":[30],"datasets":[32,40,59,66],"that":[33,137,183],"scripted":[35,58],"or":[36,82],"gathered":[37],"in-the-wild.":[38],"Scripted":[39],"most":[42],"accurate":[43],"because":[44],"of":[45,89,154],"their":[46],"consistent":[47],"visit":[48],"patterns.":[49],"perform":[55,75],"well":[56],"on":[57,62,114],"but":[60,70],"poorly":[61],"realistic":[63],"data.":[64],"In-the-wild":[65],"more":[68],"realistic,":[69],"cause":[71],"to":[74,78,143,163,170],"worse":[76],"due":[77],"imbalance,":[80],"missing":[81],"incorrect":[83],"labels,":[84],"wide":[87],"variety":[88],"phone":[90],"placements":[91],"device":[93],"types.":[94],"Lab-to-field":[95],"approaches":[96],"learn":[97,164],"robust":[99],"representation":[101],"from":[102],"scripted,":[104],"high-fidelity":[105],"dataset,":[106],"which":[107],"then":[109],"used":[110],"for":[111,128],"enhancing":[112],"performance":[113],"noisy,":[116],"in-the-wild":[117],"dataset":[118],"with":[119],"similar":[120],"labels.":[121],"This":[122],"research":[123],"introduces":[124],"Triplet-based":[125],"Domain":[126],"Adaptation":[127],"Context":[129],"REcognition":[130],"(Triple-DARE),":[131],"lab-to-field":[133],"neural":[134],"network":[135],"method":[136],"combines":[138],"three":[139],"unique":[140],"loss":[141,160,169],"functions":[142],"enhance":[144],"intra-class":[145],"compactness":[146],"inter-class":[148],"separation":[149],"within":[150],"the":[151],"embedding":[152],"space":[153],"multi-labeled":[155],"datasets:":[156],"(1)":[157],"domain":[158],"alignment":[159],"order":[162],"domain-invariant":[165],"embeddings;":[166],"(2)":[167],"classification":[168],"preserve":[171],"task-discriminative":[172],"features;":[173],"(3)":[175],"joint":[176],"fusion":[177],"triplet":[178],"loss.":[179],"Rigorous":[180],"evaluations":[181],"showed":[182],"Triple-DARE":[184],"achieved":[185],"6.3%":[186],"4.5%":[188],"higher":[189],"F1-score":[190],"classification,":[192],"respectively,":[193],"than":[194],"state-of-the-art":[195],"baselines":[197],"outperformed":[199],"non-adaptive":[200],"by":[203],"44.6%":[204],"10.7%,":[206],"respectively.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
