{"id":"https://openalex.org/W4386321924","doi":"https://doi.org/10.1109/thms.2023.3303438","title":"Self-Supervised Human Activity Recognition With Localized Time-Frequency Contrastive Representation Learning","display_name":"Self-Supervised Human Activity Recognition With Localized Time-Frequency Contrastive Representation Learning","publication_year":2023,"publication_date":"2023-08-31","ids":{"openalex":"https://openalex.org/W4386321924","doi":"https://doi.org/10.1109/thms.2023.3303438"},"language":"en","primary_location":{"id":"doi:10.1109/thms.2023.3303438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2023.3303438","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Human-Machine Systems","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/A5064074057","display_name":"Setareh Rahimi Taghanaki","orcid":"https://orcid.org/0000-0003-2680-2012"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Setareh Rahimi Taghanaki","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ingenuity Labs Research Institute, Queen's University, Kingston, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0003-2680-2012","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ingenuity Labs Research Institute, Queen's University, Kingston, ON, Canada","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036602603","display_name":"Michael J. Rainbow","orcid":"https://orcid.org/0000-0001-9610-6368"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Michael Rainbow","raw_affiliation_strings":["Department of Mechanical Engineering, Queen's University, Kingston, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0001-9610-6368","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Queen's University, Kingston, ON, Canada","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039812985","display_name":"Ali Etemad","orcid":"https://orcid.org/0000-0001-7128-0220"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ali Etemad","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ingenuity Labs Research Institute, Queen's University, Kingston, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0001-7128-0220","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ingenuity Labs Research Institute, Queen's University, Kingston, ON, Canada","institution_ids":["https://openalex.org/I204722609"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064074057"],"corresponding_institution_ids":["https://openalex.org/I204722609"],"apc_list":null,"apc_paid":null,"fwci":2.7082,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.92118452,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"53","issue":"6","first_page":"1027","last_page":"1037"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9940999746322632,"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/computer-science","display_name":"Computer science","score":0.7914249897003174},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6729614734649658},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6660162210464478},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.6526110172271729},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6340185403823853},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5976532697677612},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.504433274269104},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.48351672291755676},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.4600183367729187},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.45927104353904724},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4494631886482239},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4488011300563812},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.445231556892395},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.43698593974113464},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3115417957305908},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08083474636077881}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7914249897003174},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6729614734649658},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6660162210464478},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.6526110172271729},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6340185403823853},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5976532697677612},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.504433274269104},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.48351672291755676},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.4600183367729187},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.45927104353904724},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4494631886482239},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4488011300563812},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.445231556892395},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.43698593974113464},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3115417957305908},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08083474636077881},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/thms.2023.3303438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2023.3303438","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Human-Machine Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W122260415","https://openalex.org/W1517392359","https://openalex.org/W1940872118","https://openalex.org/W1950136256","https://openalex.org/W1996021349","https://openalex.org/W2046668794","https://openalex.org/W2057907879","https://openalex.org/W2059732136","https://openalex.org/W2187089797","https://openalex.org/W2219995598","https://openalex.org/W2316564986","https://openalex.org/W2321533354","https://openalex.org/W2578689639","https://openalex.org/W2592284297","https://openalex.org/W2593796416","https://openalex.org/W2614256707","https://openalex.org/W2640408555","https://openalex.org/W2738611661","https://openalex.org/W2759690896","https://openalex.org/W2789136377","https://openalex.org/W2947898397","https://openalex.org/W2952230511","https://openalex.org/W2999070142","https://openalex.org/W3007383329","https://openalex.org/W3011785450","https://openalex.org/W3012760824","https://openalex.org/W3023371261","https://openalex.org/W3043229062","https://openalex.org/W3083367988","https://openalex.org/W3098250197","https://openalex.org/W3099025572","https://openalex.org/W3102326534","https://openalex.org/W3103753223","https://openalex.org/W3107005520","https://openalex.org/W3112105942","https://openalex.org/W3114632476","https://openalex.org/W3171007011","https://openalex.org/W3173827382","https://openalex.org/W3177183117","https://openalex.org/W3184978184","https://openalex.org/W3196399896","https://openalex.org/W3196742694","https://openalex.org/W3198047772","https://openalex.org/W3200371321","https://openalex.org/W3200829394","https://openalex.org/W3210766530","https://openalex.org/W4286986228","https://openalex.org/W4318148707","https://openalex.org/W6630709637","https://openalex.org/W6640362995","https://openalex.org/W6683738474","https://openalex.org/W6729111150","https://openalex.org/W6747899497","https://openalex.org/W6774314701","https://openalex.org/W6779326418","https://openalex.org/W6786401209","https://openalex.org/W6797263950","https://openalex.org/W6801252433"],"related_works":["https://openalex.org/W2124823771","https://openalex.org/W2576964996","https://openalex.org/W2610740816","https://openalex.org/W3170999895","https://openalex.org/W4389374014","https://openalex.org/W4287117940","https://openalex.org/W2131513867","https://openalex.org/W4389989304","https://openalex.org/W2036486025","https://openalex.org/W4312414840"],"abstract_inverted_index":{"In":[0,122],"this":[1,80,201],"article,":[2],"we":[3,47,82,103,136],"propose":[4],"a":[5,21,60,73,101],"self-supervised":[6,138,252],"learning":[7,53,90,140,220],"solution":[8,85,173,196,244],"for":[9,152,227,234],"human":[10,35,179,188],"activity":[11,36,66,189],"recognition":[12,190],"with":[13,86,250],"smartphone":[14],"accelerometer":[15,28,96],"data.":[16],"We":[17,166,211],"aim":[18],"to":[19,32,49,72,124,132,141,161],"develop":[20],"model":[22],"that":[23,55,109,194,241],"learns":[24,110],"strong":[25],"representations":[26],"from":[27,94],"signals,":[29],"in":[30,113,119,130,200,219,248,254],"order":[31,123],"perform":[33,64],"robust":[34],"classification,":[37,154],"while":[38],"reducing":[39],"the":[40,87,95,111,117,126,157,163,168,171,214,217,230,235,242],"model's":[41],"reliance":[42],"on":[43,59,68,174],"class":[44],"labels.":[45],"Specifically,":[46],"intend":[48],"enable":[50],"cross-dataset":[51,133,255],"transfer":[52,134,256],"such":[54],"our":[56,84,195],"network":[57],"pretrained":[58],"particular":[61],"dataset":[62,226],"can":[63],"effective":[65],"classification":[67,237],"other":[69,118,251],"datasets":[70,233],"(successive":[71],"small":[74],"amount":[75],"of":[76,89,144,170,216],"fine-tuning).":[77],"To":[78],"tackle":[79],"problem,":[81],"design":[83,104],"intention":[88],"as":[91,98],"much":[92],"information":[93],"signals":[97],"possible.":[99],"As":[100],"result,":[102],"two":[105,158],"separate":[106],"pipelines,":[107],"one":[108],"data":[112,184],"time-frequency":[114],"domain,":[115],"and":[116,155,181,186,192,208,229,239],"time-domain":[120],"alone.":[121],"address":[125],"issues":[127],"mentioned":[128],"above":[129],"regards":[131],"learning,":[135],"use":[137],"contrastive":[139],"train":[142],"each":[143,148],"these":[145],"streams.":[146],"Next,":[147],"stream":[149],"is":[150],"fine-tuned":[151],"final":[153,164],"eventually":[156],"are":[159],"fused":[160],"provide":[162],"results.":[165],"evaluate":[167,213],"performance":[169,215,247],"proposed":[172,243],"three":[175,232],"datasets,":[176],"namely,":[177],"MotionSense,":[178],"activities":[180],"postural":[182],"transitions":[183],"(HAPT),":[185],"heterogeneity":[187],"(HHAR),":[191],"demonstrate":[193],"outperforms":[197],"prior":[198],"works":[199],"field":[202],"achieving":[203],"F1":[204],"scores":[205],"0.934,":[206],"0.911,":[207],"0.826,":[209],"respectively.":[210],"further":[212],"method":[218],"generalized":[221],"features,":[222],"by":[223],"using":[224],"MobiAct":[225],"pretraining":[228],"remaining":[231],"downstream":[236],"task,":[238],"show":[240],"achieves":[245],"better":[246],"comparison":[249],"methods":[253],"learning.":[257]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-24T08:23:43.765630","created_date":"2025-10-10T00:00:00"}