{"id":"https://openalex.org/W4372260039","doi":"https://doi.org/10.1109/icassp49357.2023.10096151","title":"Augmentation Robust Self-Supervised Learning for Human Activity Recognition","display_name":"Augmentation Robust Self-Supervised Learning for Human Activity Recognition","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372260039","doi":"https://doi.org/10.1109/icassp49357.2023.10096151"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10096151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5100688536","display_name":"Cong Xu","orcid":"https://orcid.org/0000-0002-5426-9721"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Cong Xu","raw_affiliation_strings":["Amazon Inc"],"affiliations":[{"raw_affiliation_string":"Amazon Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443273","display_name":"Yuhang Li","orcid":"https://orcid.org/0000-0002-3827-1522"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuhang Li","raw_affiliation_strings":["Yale University"],"affiliations":[{"raw_affiliation_string":"Yale University","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006671087","display_name":"Dae Woo Lee","orcid":"https://orcid.org/0000-0002-9095-526X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dae Lee","raw_affiliation_strings":["Amazon Inc"],"affiliations":[{"raw_affiliation_string":"Amazon Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103448879","display_name":"Dae Hoon Park","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dae Hoon Park","raw_affiliation_strings":["Amazon Inc"],"affiliations":[{"raw_affiliation_string":"Amazon Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064503846","display_name":"Hongda Mao","orcid":"https://orcid.org/0000-0002-0514-5028"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongda Mao","raw_affiliation_strings":["Amazon Inc"],"affiliations":[{"raw_affiliation_string":"Amazon Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102489772","display_name":"Huyen Do","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huyen Do","raw_affiliation_strings":["Amazon Inc"],"affiliations":[{"raw_affiliation_string":"Amazon Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jonathan Chung","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jonathan Chung","raw_affiliation_strings":["Amazon Inc"],"affiliations":[{"raw_affiliation_string":"Amazon Inc","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059667940","display_name":"Dinesh M. Nair","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dinesh Nair","raw_affiliation_strings":["Amazon Inc"],"affiliations":[{"raw_affiliation_string":"Amazon Inc","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100688536"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5924,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.67744924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9490000009536743,"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/T11977","display_name":"Technology Use by Older Adults","score":0.9128000140190125,"subfield":{"id":"https://openalex.org/subfields/3317","display_name":"Demography"},"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":0.8479483127593994},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.7271959185600281},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6326767206192017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6127675771713257},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5922698378562927},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5914499759674072},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.5196917653083801},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5095105767250061},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.48448869585990906},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.48214051127433777},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4743936061859131},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.44745346903800964},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.42697200179100037},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.419999897480011},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33840179443359375},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08091983199119568}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8479483127593994},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7271959185600281},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6326767206192017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6127675771713257},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5922698378562927},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5914499759674072},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.5196917653083801},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5095105767250061},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.48448869585990906},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.48214051127433777},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4743936061859131},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.44745346903800964},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.42697200179100037},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.419999897480011},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33840179443359375},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08091983199119568},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10096151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1857382374","https://openalex.org/W2057907879","https://openalex.org/W2342792048","https://openalex.org/W2555209581","https://openalex.org/W2842511635","https://openalex.org/W3001316388","https://openalex.org/W3005680577","https://openalex.org/W3035725276","https://openalex.org/W3083367988","https://openalex.org/W3097607752","https://openalex.org/W3099025572","https://openalex.org/W3114632476","https://openalex.org/W3185766304","https://openalex.org/W4220693285","https://openalex.org/W4291125982","https://openalex.org/W4295312788","https://openalex.org/W4297808394","https://openalex.org/W4402427663","https://openalex.org/W6631190155","https://openalex.org/W6762334975","https://openalex.org/W6766978945","https://openalex.org/W6772938244","https://openalex.org/W6774314701","https://openalex.org/W6872439276"],"related_works":["https://openalex.org/W2582769230","https://openalex.org/W2124823771","https://openalex.org/W2130553454","https://openalex.org/W3022007134","https://openalex.org/W4317548404","https://openalex.org/W3104108945","https://openalex.org/W2033364610","https://openalex.org/W2610740816","https://openalex.org/W3163689946","https://openalex.org/W2797776314"],"abstract_inverted_index":{"Human":[0],"Activity":[1],"Recognition":[2],"(HAR)":[3],"is":[4,23,59,73,95,133],"widely":[5],"applied":[6],"on":[7,120],"wearable":[8,17,55],"devices":[9],"in":[10,30,62],"our":[11,118,129],"daily":[12],"lives.":[13],"However,":[14,57],"acquiring":[15],"high-quality":[16],"sensor":[18],"data":[19,32,53,79],"set":[20],"with":[21,91,145],"ground-truths":[22],"challenging":[24],"due":[25],"to":[26,40,75,87,97,108,135,153],"the":[27,65,76,110,146,156],"high":[28],"cost":[29],"collecting":[31],"and":[33,137],"necessity":[34],"of":[35,64,78,158],"domain":[36],"experts.":[37],"In":[38],"order":[39],"achieve":[41],"generalization":[42],"from":[43,54],"limited":[44],"data,":[45],"we":[46,84,100,150],"study":[47],"augmentation-based":[48],"Self-Supervised":[49],"Learning":[50],"(SSL)":[51],"for":[52],"devices.":[56],"there":[58],"an":[60,102],"issue":[61],"one":[63],"most":[66,111],"popular":[67],"SSL":[68,131],"approaches,":[69],"contrastive":[70,89,142],"learning:":[71],"it":[72],"sensitive":[74],"choice":[77],"augmentations.":[80,98],"To":[81],"resolve":[82],"this,":[83],"first":[85],"propose":[86,101],"combine":[88],"learning":[90],"generative":[92],"learning,":[93],"which":[94],"robust":[96,134],"Second,":[99],"automatic":[103],"augmentation":[104,113,148],"policy":[105,149],"search":[106],"method":[107],"discover":[109],"promising":[112],"policy.":[114],"We":[115],"empirically":[116],"verify":[117],"approaches":[119],"three":[121],"public":[122],"HAR":[123,159],"datasets.":[124],"Experimental":[125],"results":[126],"show":[127],"that":[128],"proposed":[130],"approach":[132],"augmentations,":[136],"delivers":[138],"higher":[139],"accuracy":[140,157],"than":[141],"learning.":[143],"Additionally,":[144],"searched":[147],"are":[151],"able":[152],"further":[154],"improve":[155],"task.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}