{"id":"https://openalex.org/W4390798749","doi":"https://doi.org/10.1145/3631444","title":"Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognition","display_name":"Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognition","publication_year":2023,"publication_date":"2023-12-19","ids":{"openalex":"https://openalex.org/W4390798749","doi":"https://doi.org/10.1145/3631444"},"language":"en","primary_location":{"id":"doi:10.1145/3631444","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3631444","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3631444","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3631444","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042611806","display_name":"Wen Ge","orcid":"https://orcid.org/0000-0002-9247-1162"},"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":"Wen Ge","raw_affiliation_strings":["Worcester Polytechnic Institute, Worcester, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-9247-1162","affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, Worcester, MA, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003864116","display_name":"Guanyi Mou","orcid":"https://orcid.org/0000-0002-9987-0342"},"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":"Guanyi Mou","raw_affiliation_strings":["Worcester Polytechnic Institute, Worcester, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-9987-0342","affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, Worcester, MA, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"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":false,"raw_author_name":"Emmanuel O. Agu","raw_affiliation_strings":["Worcester Polytechnic Institute, Worcester, USA"],"raw_orcid":"https://orcid.org/0000-0002-3361-4952","affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, Worcester, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103224637","display_name":"Kyumin Lee","orcid":"https://orcid.org/0000-0002-9004-1740"},"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":"Kyumin Lee","raw_affiliation_strings":["Worcester Polytechnic Institute, Worcester, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-9004-1740","affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, Worcester, MA, USA","institution_ids":["https://openalex.org/I107077323"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5042611806"],"corresponding_institution_ids":["https://openalex.org/I107077323"],"apc_list":null,"apc_paid":null,"fwci":1.0245,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.79518229,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"7","issue":"4","first_page":"1","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9987999796867371,"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":0.9957000017166138,"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":0.5970842242240906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5490893125534058},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49158939719200134},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.47222402691841125},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45214375853538513},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.38175851106643677},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.18290862441062927},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.10040602087974548}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5970842242240906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5490893125534058},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49158939719200134},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.47222402691841125},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45214375853538513},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38175851106643677},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.18290862441062927},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.10040602087974548},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3631444","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3631444","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3631444","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"},{"id":"pmh:oai:arXiv.org:2409.18481","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.18481","pdf_url":"https://arxiv.org/pdf/2409.18481","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3631444","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3631444","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3631444","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":[],"awards":[{"id":"https://openalex.org/G4606585221","display_name":null,"funder_award_id":"HR00111780032-WASH-FP-031","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G6514013151","display_name":null,"funder_award_id":"HR00111780032-WASH-FP-031","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390798749.pdf","grobid_xml":"https://content.openalex.org/works/W4390798749.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1993160410","https://openalex.org/W2019993146","https://openalex.org/W2088252378","https://openalex.org/W2138621090","https://openalex.org/W2476125329","https://openalex.org/W2510206847","https://openalex.org/W2746591362","https://openalex.org/W2913696439","https://openalex.org/W2916712302","https://openalex.org/W2940963663","https://openalex.org/W2947898397","https://openalex.org/W2963373106","https://openalex.org/W2963521844","https://openalex.org/W2963707260","https://openalex.org/W2964051675","https://openalex.org/W2965857891","https://openalex.org/W2996249958","https://openalex.org/W3011074022","https://openalex.org/W3012409400","https://openalex.org/W3012475342","https://openalex.org/W3014370958","https://openalex.org/W3016839817","https://openalex.org/W3034851746","https://openalex.org/W3085990079","https://openalex.org/W3092336341","https://openalex.org/W3108060352","https://openalex.org/W3117562715","https://openalex.org/W3130120950","https://openalex.org/W3132859479","https://openalex.org/W3204707240","https://openalex.org/W3213831041","https://openalex.org/W4220982727","https://openalex.org/W4290943920","https://openalex.org/W4294891654","https://openalex.org/W4319837251","https://openalex.org/W4381737486","https://openalex.org/W4390821681","https://openalex.org/W4390831742"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W4321369474","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"Human":[0],"Activity":[1],"Recognition":[2],"(HAR)":[3],"is":[4,148],"a":[5,34,51,96],"challenging,":[6],"multi-label":[7],"classification":[8],"problem":[9],"as":[10],"activities":[11],"may":[12,22],"co-occur":[13],"and":[14,53,93,124],"sensor":[15],"signals":[16],"corresponding":[17],"to":[18,90,100,117,126,142,151],"the":[19],"same":[20],"activity":[21],"vary":[23],"in":[24,50],"different":[25,28,74,83],"contexts":[26],"(e.g.,":[27],"device":[29],"placements).":[30],"This":[31],"paper":[32],"proposes":[33],"Deep":[35],"Heterogeneous":[36],"Contrastive":[37],"Hyper-Graph":[38],"Learning":[39],"(DHC-HGL)":[40],"framework":[41],"that":[42,78],"captures":[43],"heterogenous":[44],"Context-Aware":[45],"HAR":[46],"(CA-HAR)":[47],"hypergraph":[48],"properties":[49],"message-passing":[52],"neighborhood-aggregation":[54],"fashion.":[55],"Prior":[56],"work":[57],"only":[58],"explored":[59],"homogeneous":[60],"or":[61],"shallow-node-heterogeneous":[62],"graphs.":[63],"DHC-HGL":[64,110],"handles":[65],"heterogeneous":[66],"CA-HAR":[67,108,136],"data":[68],"by":[69,115],"innovatively":[70],"1)":[71],"Constructing":[72],"three":[73],"types":[75],"of":[76,134],"sub-hypergraphs":[77],"are":[79,139],"each":[80],"passed":[81],"through":[82],"custom":[84],"HyperGraph":[85],"Convolution":[86],"(HGC)":[87],"layers":[88],"designed":[89],"handle":[91],"edge-heterogeneity":[92],"2)":[94],"Adopting":[95],"contrastive":[97],"loss":[98],"function":[99],"ensure":[101],"node-heterogeneity.":[102],"In":[103],"rigorous":[104],"evaluation":[105],"on":[106,119,128],"two":[107],"datasets,":[109],"significantly":[111],"outperformed":[112],"state-of-the-art":[113],"baselines":[114],"5.8%":[116],"16.7%":[118],"Matthews":[120],"Correlation":[121],"Coefficient":[122],"(MCC)":[123],"3.0%":[125],"8.4%":[127],"Macro":[129],"F1":[130],"scores.":[131],"UMAP":[132],"visualizations":[133],"learned":[135],"node":[137],"embeddings":[138],"also":[140],"presented":[141],"enhance":[143],"model":[144],"explainability.":[145],"Our":[146],"code":[147],"publicly":[149],"available1":[150],"encourage":[152],"further":[153],"research.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
