{"id":"https://openalex.org/W2851629429","doi":"https://doi.org/10.1145/3214277","title":"AROMA","display_name":"AROMA","publication_year":2018,"publication_date":"2018-07-05","ids":{"openalex":"https://openalex.org/W2851629429","doi":"https://doi.org/10.1145/3214277","mag":"2851629429"},"language":"en","primary_location":{"id":"doi:10.1145/3214277","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3214277","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/A5004004415","display_name":"Liangying Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liangying Peng","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100411139","display_name":"Ling Chen","orcid":"https://orcid.org/0000-0003-1934-5992"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Chen","raw_affiliation_strings":["College of Computer Science and Technology, Alibaba-Zhejiang University Joint Institute of Frontier Technologies, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Alibaba-Zhejiang University Joint Institute of Frontier Technologies, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072861233","display_name":"Zhenan Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenan Ye","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100388188","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0002-5867-9322"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004004415"],"corresponding_institution_ids":["https://openalex.org/I168879160"],"apc_list":null,"apc_paid":null,"fwci":6.9982,"has_fulltext":false,"cited_by_count":132,"citation_normalized_percentile":{"value":0.97725042,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"2","issue":"2","first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9848999977111816,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9742000102996826,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7600862979888916},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7192773222923279},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6102815270423889},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5478042960166931},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5092605352401733},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.4873140752315521},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4752506911754608},{"id":"https://openalex.org/keywords/aroma","display_name":"Aroma","score":0.47144830226898193},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.45205754041671753},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4357416033744812},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.43226560950279236},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4289679527282715},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40131497383117676},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.345954567193985},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.06180882453918457}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7600862979888916},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7192773222923279},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6102815270423889},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5478042960166931},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5092605352401733},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4873140752315521},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4752506911754608},{"id":"https://openalex.org/C2780563676","wikidata":"https://www.wikidata.org/wiki/Q1758872","display_name":"Aroma","level":2,"score":0.47144830226898193},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.45205754041671753},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4357416033744812},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.43226560950279236},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4289679527282715},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40131497383117676},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.345954567193985},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.06180882453918457},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C31903555","wikidata":"https://www.wikidata.org/wiki/Q1637030","display_name":"Food science","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3214277","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3214277","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1536929369","https://openalex.org/W1538131130","https://openalex.org/W1689711448","https://openalex.org/W1862622576","https://openalex.org/W1877546439","https://openalex.org/W1896424170","https://openalex.org/W1969069964","https://openalex.org/W1971361852","https://openalex.org/W1984489625","https://openalex.org/W1984882606","https://openalex.org/W1999712889","https://openalex.org/W2002261403","https://openalex.org/W2025723605","https://openalex.org/W2064675550","https://openalex.org/W2099336098","https://openalex.org/W2126511896","https://openalex.org/W2156567116","https://openalex.org/W2168189108","https://openalex.org/W2194775991","https://openalex.org/W2232966085","https://openalex.org/W2270470215","https://openalex.org/W2473781013","https://openalex.org/W2514114051","https://openalex.org/W2516547184","https://openalex.org/W2600077159","https://openalex.org/W2604630936","https://openalex.org/W2783358183"],"related_works":["https://openalex.org/W2363686923","https://openalex.org/W1654395363","https://openalex.org/W2373050638","https://openalex.org/W2349517642","https://openalex.org/W2128448229","https://openalex.org/W2369918784","https://openalex.org/W2359295303","https://openalex.org/W3105278570","https://openalex.org/W2117913171","https://openalex.org/W2582769230"],"abstract_inverted_index":{"Human":[0,79],"activity":[1,73,96,106,128,145,195],"recognition":[2,74,107,129],"(HAR)":[3],"is":[4,42,150,183],"a":[5,28,111,133,151,187],"promising":[6],"research":[7],"issue":[8],"in":[9,20,102,190],"ubiquitous":[10],"and":[11,33,58,86,94,124,158,176,193],"wearable":[12],"computing.":[13],"However,":[14],"there":[15,149],"are":[16,56,90,98,121,166],"some":[17],"problems":[18],"existing":[19],"traditional":[21],"methods:":[22],"1)":[23],"They":[24,49,89],"treat":[25],"HAR":[26,63],"as":[27],"single":[29],"label":[30],"classification":[31],"task,":[32,108,130],"ignore":[34],"the":[35,45,141,155,159,177],"information":[36],"from":[37],"other":[38],"related":[39,61,100],"tasks,":[40,157],"which":[41,55,120],"helpful":[43],"for":[44],"original":[46],"task.":[47,64],"2)":[48],"need":[50],"to":[51,62,116,139,185],"predesign":[52],"features":[53],"artificially,":[54],"heuristic":[57],"not":[59],"tightly":[60],"To":[65],"address":[66],"these":[67,163],"problems,":[68],"we":[69],"propose":[70],"AROMA":[71,109,131,171,182],"(human":[72],"using":[75],"deep":[76,118],"multi-task":[77],"learning).":[78],"activities":[80],"can":[81],"be":[82],"divided":[83],"into":[84],"simple":[85,105,192],"complex":[87,95,127,194],"activities.":[88],"closely":[91],"linked.":[92],"Simple":[93],"recognitions":[97],"two":[99,156,164,173],"tasks":[101,165],"AROMA.":[103],"For":[104,126],"utilizes":[110],"convolutional":[112],"neural":[113],"network":[114,138],"(CNN)":[115],"extract":[117],"features,":[119],"task":[122],"dependent":[123],"non-handcrafted.":[125],"applies":[132],"long":[134],"short-term":[135],"memory":[136],"(LSTM)":[137],"learn":[140],"temporal":[142],"context":[143],"of":[144,162],"data.":[146],"In":[147],"addition,":[148],"shared":[152],"structure":[153],"between":[154],"object":[160],"functions":[161],"optimized":[167],"jointly.":[168],"We":[169],"evaluate":[170],"on":[172],"public":[174],"datasets,":[175],"experimental":[178],"results":[179],"show":[180],"that":[181],"able":[184],"yield":[186],"competitive":[188],"performance":[189],"both":[191],"recognitions.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":27},{"year":2020,"cited_by_count":24},{"year":2019,"cited_by_count":15}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2018-07-19T00:00:00"}
