{"id":"https://openalex.org/W4392255653","doi":"https://doi.org/10.1145/3633637.3633654","title":"Self-supervised Contrastive Few-Shot Learning for Motor Imagery Brain-Computer Interfaces","display_name":"Self-supervised Contrastive Few-Shot Learning for Motor Imagery Brain-Computer Interfaces","publication_year":2023,"publication_date":"2023-10-27","ids":{"openalex":"https://openalex.org/W4392255653","doi":"https://doi.org/10.1145/3633637.3633654"},"language":"en","primary_location":{"id":"doi:10.1145/3633637.3633654","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3633637.3633654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 12th International Conference on Computing and Pattern Recognition","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/A5081943378","display_name":"J. Y. Zhang","orcid":"https://orcid.org/0009-0003-5851-4872"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingwei Zhang","raw_affiliation_strings":["Yanshan University, China"],"affiliations":[{"raw_affiliation_string":"Yanshan University, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038876302","display_name":"Guoqian Jiang","orcid":"https://orcid.org/0000-0002-1813-8249"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqian Jiang","raw_affiliation_strings":["Yanshan University, China"],"affiliations":[{"raw_affiliation_string":"Yanshan University, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072079431","display_name":"Jincheng Hu","orcid":"https://orcid.org/0009-0004-7578-5233"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jincheng Hu","raw_affiliation_strings":["Yanshan University, China"],"affiliations":[{"raw_affiliation_string":"Yanshan University, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061377407","display_name":"Ping Xie","orcid":"https://orcid.org/0000-0001-5878-087X"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Xie","raw_affiliation_strings":["Yanshan University, China"],"affiliations":[{"raw_affiliation_string":"Yanshan University, China","institution_ids":["https://openalex.org/I39333907"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081943378"],"corresponding_institution_ids":["https://openalex.org/I39333907"],"apc_list":null,"apc_paid":null,"fwci":0.176,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53296921,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"114","last_page":"119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/motor-imagery","display_name":"Motor imagery","score":0.8693195581436157},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.8568989038467407},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7661214470863342},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7029663324356079},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6519032716751099},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.6080620884895325},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48937147855758667},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4170057773590088},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.23115578293800354},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22644716501235962},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07412463426589966}],"concepts":[{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.8693195581436157},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8568989038467407},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7661214470863342},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7029663324356079},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6519032716751099},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.6080620884895325},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48937147855758667},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4170057773590088},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.23115578293800354},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22644716501235962},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07412463426589966},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3633637.3633654","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3633637.3633654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 12th International Conference on Computing and Pattern Recognition","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":13,"referenced_works":["https://openalex.org/W2029264676","https://openalex.org/W2106006415","https://openalex.org/W2119163516","https://openalex.org/W2146978355","https://openalex.org/W2316628572","https://openalex.org/W2324412448","https://openalex.org/W3009180679","https://openalex.org/W3169764988","https://openalex.org/W4285275037","https://openalex.org/W4289822162","https://openalex.org/W4312271052","https://openalex.org/W4382371186","https://openalex.org/W4383815027"],"related_works":["https://openalex.org/W1977940006","https://openalex.org/W2887556756","https://openalex.org/W2947925238","https://openalex.org/W195417223","https://openalex.org/W1984377984","https://openalex.org/W1961545574","https://openalex.org/W3045772920","https://openalex.org/W2510077457","https://openalex.org/W2047816336","https://openalex.org/W2944296668"],"abstract_inverted_index":{"Motor":[0],"imagery":[1,18,47,140],"brain-computer":[2],"interfaces":[3],"(BCIs)":[4],"are":[5,82],"integral":[6],"to":[7,73,124],"the":[8,14,31,66,75,89,102,107,125,136,143],"field":[9],"of":[10,16,33,112,119,138,145],"intelligent":[11,146],"rehabilitation.":[12,147],"However,":[13],"collection":[15],"motor":[17,46,139],"data":[19,38],"is":[20,62],"time-consuming":[21],"and":[22,104,114,121],"expensive,":[23],"while":[24],"traditional":[25],"deep":[26],"learning":[27],"models":[28],"often":[29],"face":[30],"risk":[32],"overfitting":[34],"when":[35],"handling":[36],"limited":[37],"samples.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43],"propose":[44],"a":[45,52],"recognition":[48],"network":[49],"that":[50,100],"merges":[51],"self-supervised":[53,71],"contrastive":[54,72],"framework":[55],"with":[56],"few-shot":[57,95],"learning.":[58,96],"The":[59,78,97],"proposed":[60,108],"model":[61,79],"first":[63],"trained":[64],"on":[65,101],"dataset":[67],"without":[68],"labels":[69],"using":[70],"obtain":[74],"optimal":[76],"model.":[77],"parameters":[80,87],"obtained":[81],"then":[83],"used":[84],"as":[85],"initialization":[86],"for":[88,134],"prototypical":[90],"network,":[91],"which":[92],"improves":[93],"in":[94,142],"results":[98],"show":[99],"BCICIV2A":[103],"BCICIV2B":[105],"datasets,":[106],"approach":[109],"achieves":[110],"accuracies":[111],"69.12%":[113],"80.27%,":[115],"respectively,":[116],"representing":[117],"improvements":[118],"6.79%":[120],"4.14%":[122],"compared":[123],"baseline":[126],"models.":[127],"This":[128],"research":[129],"achievement":[130],"holds":[131],"significant":[132],"implications":[133],"advancing":[135],"application":[137],"BCIs":[141],"domain":[144]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
