{"id":"https://openalex.org/W3003860764","doi":"https://doi.org/10.1145/3369818","title":"Cross-Dataset Activity Recognition via Adaptive Spatial-Temporal Transfer Learning","display_name":"Cross-Dataset Activity Recognition via Adaptive Spatial-Temporal Transfer Learning","publication_year":2019,"publication_date":"2019-12-11","ids":{"openalex":"https://openalex.org/W3003860764","doi":"https://doi.org/10.1145/3369818","mag":"3003860764"},"language":"en","primary_location":{"id":"doi:10.1145/3369818","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3369818","pdf_url":null,"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":["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/A5023273288","display_name":"Xin Qin","orcid":"https://orcid.org/0000-0002-4717-4310"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Qin","raw_affiliation_strings":["Beijing Key Lab. of Mobile Computing and Pervasive Devices, Inst. of Computing Tech., CAS, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Lab. of Mobile Computing and Pervasive Devices, Inst. of Computing Tech., CAS, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008558592","display_name":"Yiqiang Chen","orcid":"https://orcid.org/0000-0002-8407-0780"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqiang Chen","raw_affiliation_strings":["Beijing Key Lab. of Mobile Computing and Pervasive Devices, Inst. of Computing Tech., CAS, University of Chinese Academy of Sciences, Pengcheng Laboratory, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Lab. of Mobile Computing and Pervasive Devices, Inst. of Computing Tech., CAS, University of Chinese Academy of Sciences, Pengcheng Laboratory, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100700956","display_name":"Jindong Wang","orcid":"https://orcid.org/0000-0002-4833-0880"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jindong Wang","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033661654","display_name":"Chaohui Yu","orcid":"https://orcid.org/0000-0002-7852-4491"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaohui Yu","raw_affiliation_strings":["Beijing Key Lab. of Mobile Computing and Pervasive Devices, Inst. of Computing Tech., CAS, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Lab. of Mobile Computing and Pervasive Devices, Inst. of Computing Tech., CAS, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5103,"has_fulltext":false,"cited_by_count":82,"citation_normalized_percentile":{"value":0.93843984,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"3","issue":"4","first_page":"1","last_page":"25"},"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":0.9916999936103821,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9900000095367432,"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":0.8063341379165649},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7862666249275208},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5952437520027161},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5743479132652283},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5276229381561279},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.515540599822998},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49291181564331055},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.4520612955093384},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3698806166648865},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3315281867980957}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8063341379165649},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7862666249275208},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5952437520027161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5743479132652283},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5276229381561279},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.515540599822998},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49291181564331055},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4520612955093384},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3698806166648865},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3315281867980957},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3369818","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3369818","pdf_url":null,"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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1544165511","https://openalex.org/W1848260265","https://openalex.org/W1857382374","https://openalex.org/W1923002919","https://openalex.org/W1946137962","https://openalex.org/W1977088242","https://openalex.org/W1979740015","https://openalex.org/W2026297770","https://openalex.org/W2040901622","https://openalex.org/W2043486661","https://openalex.org/W2087977130","https://openalex.org/W2096943734","https://openalex.org/W2099336098","https://openalex.org/W2107298017","https://openalex.org/W2115403315","https://openalex.org/W2125865219","https://openalex.org/W2126017757","https://openalex.org/W2126125555","https://openalex.org/W2128053425","https://openalex.org/W2131953535","https://openalex.org/W2144348409","https://openalex.org/W2145343602","https://openalex.org/W2146950091","https://openalex.org/W2149466042","https://openalex.org/W2158108973","https://openalex.org/W2158698691","https://openalex.org/W2165698076","https://openalex.org/W2171370495","https://openalex.org/W2212660284","https://openalex.org/W2261310161","https://openalex.org/W2270470215","https://openalex.org/W2604474127","https://openalex.org/W2604630936","https://openalex.org/W2736191430","https://openalex.org/W2736761179","https://openalex.org/W2754342515","https://openalex.org/W2781626483","https://openalex.org/W2782853073","https://openalex.org/W2798377719","https://openalex.org/W2798381792","https://openalex.org/W2801443642","https://openalex.org/W2869166307","https://openalex.org/W2883074505","https://openalex.org/W2884771968","https://openalex.org/W2888680699","https://openalex.org/W2900846417","https://openalex.org/W2906031885","https://openalex.org/W2906550035","https://openalex.org/W2931750383","https://openalex.org/W2949843150","https://openalex.org/W2963214104","https://openalex.org/W2963275094","https://openalex.org/W2963564844","https://openalex.org/W2963693396","https://openalex.org/W2964288524","https://openalex.org/W4230586052"],"related_works":["https://openalex.org/W4308262314","https://openalex.org/W4382286161","https://openalex.org/W4386213806","https://openalex.org/W2960456850","https://openalex.org/W4281645081","https://openalex.org/W4312200629","https://openalex.org/W4281386417","https://openalex.org/W4317565044","https://openalex.org/W4362719745","https://openalex.org/W3021430260"],"abstract_inverted_index":{"Human":[0],"activity":[1,49,96,195,268],"recognition":[2],"(HAR)":[3],"aims":[4],"at":[5],"recognizing":[6],"activities":[7,245],"by":[8,35,150],"training":[9],"models":[10],"on":[11,206,217],"the":[12,75,81,109,113,135,144,153,157,166,177,199,240,247,253,260],"large":[13],"quantity":[14],"of":[15,134,201,262],"sensor":[16],"data.":[17],"Since":[18],"it":[19,67,164],"is":[20,54,68,94],"time-consuming":[21],"and":[22,62,112,159,184,193,221,249,266],"expensive":[23],"to":[24,70,73,80,103,131,236],"acquire":[25],"abundant":[26],"labeled":[27],"data,":[28],"transfer":[29,87,107,148],"learning":[30,149],"becomes":[31],"necessary":[32],"for":[33,181,188],"HAR":[34,183,209,226,238],"transferring":[36,250],"knowledge":[37,106,251],"from":[38],"existing":[39,46],"domains.":[40],"However,":[41],"there":[42],"are":[43],"two":[44,137],"challenges":[45,138],"in":[47,139,147,239,246,252],"cross-dataset":[48,140,182,225],"recognition.":[50],"The":[51,91],"first":[52],"challenge":[53],"source":[55,65,78,99,111,190,263],"domain":[56,79,83,100,115,191,264],"selection.":[57],"Given":[58],"a":[59],"target":[60,82,114],"task":[61],"several":[63],"available":[64],"domains,":[66],"difficult":[69],"determine":[71],"how":[72,102],"select":[74],"most":[76],"similar":[77],"such":[84],"that":[85],"negative":[86],"can":[88,175,185,257],"be":[89,186],"avoided.":[90],"second":[92],"one":[93],"accurately":[95],"transfer.":[97,196,269],"After":[98],"selection,":[101],"achieve":[104],"accurate":[105,194,267],"between":[108,156],"selected":[110],"remains":[116],"another":[117],"challenge.":[118],"In":[119],"this":[120],"paper,":[121],"we":[122,219],"propose":[123],"an":[124,223],"Adaptive":[125,231],"Spatial-Temporal":[126],"Transfer":[127],"Learning":[128],"(ASTTL)":[129],"approach":[130],"tackle":[132],"both":[133,189],"above":[136],"HAR.":[141],"ASTTL":[142,174,202,256],"learns":[143],"spatial":[145],"features":[146,168,180],"adaptively":[151],"evaluating":[152],"relative":[154],"importance":[155],"marginal":[158],"conditional":[160],"probability":[161],"distributions.":[162],"Besides,":[163],"captures":[165],"temporal":[167],"via":[169],"incremental":[170],"manifold":[171],"learning.":[172],"Therefore,":[173],"learn":[176],"adaptive":[178,224],"spatial-temporal":[179],"used":[187],"selection":[192,265],"We":[197],"evaluate":[198],"performance":[200,261],"through":[203],"extensive":[204],"experiments":[205],"4":[207],"public":[208],"datasets,":[210],"which":[211],"demonstrates":[212],"its":[213],"effectiveness.":[214],"Furthermore,":[215],"based":[216],"ASTTL,":[218],"design":[220],"implement":[222],"system":[227],"called":[228],"Client-Cloud":[229],"Collaborative":[230],"Activity":[232],"Recognition":[233],"System":[234],"(3C2ARS)":[235],"perform":[237],"real":[241],"environment.":[242],"By":[243],"collecting":[244],"smartphone":[248],"cloud":[254],"server,":[255],"significantly":[258],"improve":[259]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":3}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
