{"id":"https://openalex.org/W3184978184","doi":"https://doi.org/10.1109/ijcb52358.2021.9484410","title":"Contrastive Self-supervised Learning for Sensor-based Human Activity Recognition","display_name":"Contrastive Self-supervised Learning for Sensor-based Human Activity Recognition","publication_year":2021,"publication_date":"2021-07-20","ids":{"openalex":"https://openalex.org/W3184978184","doi":"https://doi.org/10.1109/ijcb52358.2021.9484410","mag":"3184978184"},"language":"en","primary_location":{"id":"doi:10.1109/ijcb52358.2021.9484410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb52358.2021.9484410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Joint Conference on Biometrics (IJCB)","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/A5086064165","display_name":"Bulat Khaertdinov","orcid":"https://orcid.org/0000-0003-1651-0657"},"institutions":[{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Bulat Khaertdinov","raw_affiliation_strings":["Maastricht University,Maastricht,Netherlands","Maastricht University, Maastricht, Netherlands"],"affiliations":[{"raw_affiliation_string":"Maastricht University,Maastricht,Netherlands","institution_ids":["https://openalex.org/I34352273"]},{"raw_affiliation_string":"Maastricht University, Maastricht, Netherlands","institution_ids":["https://openalex.org/I34352273"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046627420","display_name":"Esam Ghaleb","orcid":"https://orcid.org/0000-0002-0603-9817"},"institutions":[{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Esam Ghaleb","raw_affiliation_strings":["Maastricht University,Maastricht,Netherlands","Maastricht University, Maastricht, Netherlands"],"affiliations":[{"raw_affiliation_string":"Maastricht University,Maastricht,Netherlands","institution_ids":["https://openalex.org/I34352273"]},{"raw_affiliation_string":"Maastricht University, Maastricht, Netherlands","institution_ids":["https://openalex.org/I34352273"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040216921","display_name":"Stylianos Asteriadis","orcid":"https://orcid.org/0000-0002-4298-6870"},"institutions":[{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Stylianos Asteriadis","raw_affiliation_strings":["Maastricht University,Maastricht,Netherlands","Maastricht University, Maastricht, Netherlands"],"affiliations":[{"raw_affiliation_string":"Maastricht University,Maastricht,Netherlands","institution_ids":["https://openalex.org/I34352273"]},{"raw_affiliation_string":"Maastricht University, Maastricht, Netherlands","institution_ids":["https://openalex.org/I34352273"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086064165"],"corresponding_institution_ids":["https://openalex.org/I34352273"],"apc_list":null,"apc_paid":null,"fwci":5.4387,"has_fulltext":false,"cited_by_count":80,"citation_normalized_percentile":{"value":0.96861421,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9922000169754028,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9757000207901001,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8281643390655518},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6621545553207397},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6279870867729187},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5594667792320251},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5012974739074707},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.48664388060569763},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.48208361864089966},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4762337803840637},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44548359513282776},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43879130482673645},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.42768123745918274},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.16697698831558228},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08042550086975098}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8281643390655518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6621545553207397},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6279870867729187},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5594667792320251},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5012974739074707},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.48664388060569763},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.48208361864089966},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4762337803840637},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44548359513282776},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43879130482673645},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.42768123745918274},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.16697698831558228},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08042550086975098},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","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},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcb52358.2021.9484410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb52358.2021.9484410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"},{"id":"pmh:oai:cris.maastrichtuniversity.nl:openaire_cris_publications/ad0686ea-5b25-434e-9237-d34cdb6020cf","is_oa":false,"landing_page_url":"https://cris.maastrichtuniversity.nl/en/publications/ad0686ea-5b25-434e-9237-d34cdb6020cf","pdf_url":null,"source":{"id":"https://openalex.org/S4306402616","display_name":"Research Publications (Maastricht University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I34352273","host_organization_name":"Maastricht University","host_organization_lineage":["https://openalex.org/I34352273"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Khaertdinov, B, Ghaleb, E & Asteriadis, S 2021, Contrastive Self-supervised Learning for Sensor-based Human Activity Recognition. in 2021 IEEE International Joint Conference on Biometrics (IJCB)., 9484410, IEEE, 2021 IEEE International Joint Conference on Biometrics (IJCB), Shenzhen, China, 4/08/21. https://doi.org/10.1109/IJCB52358.2021.9484410","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W134960717","https://openalex.org/W1665214252","https://openalex.org/W1836465849","https://openalex.org/W2095705004","https://openalex.org/W2145343602","https://openalex.org/W2270470215","https://openalex.org/W2288074780","https://openalex.org/W2344284192","https://openalex.org/W2387306914","https://openalex.org/W2518633731","https://openalex.org/W2592249290","https://openalex.org/W2757910899","https://openalex.org/W2765693785","https://openalex.org/W2842511635","https://openalex.org/W2885789422","https://openalex.org/W2887191090","https://openalex.org/W2894702700","https://openalex.org/W2916879374","https://openalex.org/W2963855167","https://openalex.org/W2963993350","https://openalex.org/W2964121744","https://openalex.org/W2972118594","https://openalex.org/W3034978746","https://openalex.org/W3035060554","https://openalex.org/W3035524453","https://openalex.org/W3083367988","https://openalex.org/W3091367282","https://openalex.org/W3099025572","https://openalex.org/W3108655343","https://openalex.org/W3166187222","https://openalex.org/W3177183117","https://openalex.org/W4297808394","https://openalex.org/W6605479355","https://openalex.org/W6631190155","https://openalex.org/W6637242042","https://openalex.org/W6638667902","https://openalex.org/W6674330103","https://openalex.org/W6696429117","https://openalex.org/W6704286305","https://openalex.org/W6744513255","https://openalex.org/W6774314701","https://openalex.org/W6775189568","https://openalex.org/W6779326418"],"related_works":["https://openalex.org/W3195649134","https://openalex.org/W2281498195","https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2017526120","https://openalex.org/W2610664080","https://openalex.org/W2142795561","https://openalex.org/W2117913171","https://openalex.org/W2582769230"],"abstract_inverted_index":{"Deep":[0],"Learning":[1],"models,":[2],"applied":[3],"to":[4,19,76,83,136],"a":[5,32,68,72,78],"sensor-based":[6],"Human":[7,85],"Activity":[8,86],"Recognition":[9,87],"task,":[10],"usually":[11],"require":[12],"vast":[13],"amounts":[14,144],"of":[15,58,120,145],"annotated":[16,146],"time-series":[17],"data":[18,147],"extract":[20],"robust":[21,123],"features.":[22],"However,":[23],"annotating":[24],"signals":[25],"coming":[26],"from":[27,93,133],"wearable":[28],"sensors":[29],"can":[30],"be":[31],"tedious":[33],"and,":[34],"often,":[35],"not":[36],"so":[37],"intuitive":[38],"process,":[39],"that":[40,89,108],"requires":[41],"specialized":[42],"tools":[43],"and":[44,51],"predefined":[45],"scenarios,":[46],"making":[47],"it":[48],"an":[49],"expensive":[50],"time-consuming":[52],"task.":[53],"This":[54],"paper":[55],"combines":[56],"one":[57,134],"the":[59,109,126],"most":[60],"recent":[61,113],"advances":[62],"in":[63],"Self-Supervised":[64],"Leaning":[65],"(SSL),":[66],"namely":[67],"SimCLR":[69],"framework,":[70],"with":[71],"powerful":[73],"transformer-based":[74],"encoder":[75],"introduce":[77],"Contrastive":[79],"Self-supervised":[80],"learning":[81],"approach":[82],"Sensor-based":[84],"(CSSHAR)":[88],"learns":[90],"feature":[91],"representations":[92],"unlabeled":[94],"sensory":[95],"data.":[96],"Extensive":[97],"experiments":[98],"conducted":[99],"on":[100],"three":[101],"widely":[102],"used":[103],"public":[104],"datasets":[105],"have":[106],"shown":[107],"proposed":[110],"method":[111],"outperforms":[112],"SSL":[114],"models.":[115],"Moreover,":[116],"CSSHAR":[117],"is":[118],"capable":[119],"extracting":[121],"more":[122],"features":[124],"than":[125],"identical":[127],"supervised":[128],"transformer":[129],"when":[130,141],"transferring":[131],"knowledge":[132],"dataset":[135],"another":[137],"as":[138,140],"well":[139],"very":[142],"limited":[143],"are":[148],"available.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-19T08:26:33.389920","created_date":"2025-10-10T00:00:00"}