{"id":"https://openalex.org/W7154471865","doi":"https://doi.org/10.1145/3774906.3802770","title":"NeuroPath: Practically Adopting Motor Imagery Decoding through EEG Signals","display_name":"NeuroPath: Practically Adopting Motor Imagery Decoding through EEG Signals","publication_year":2026,"publication_date":"2026-05-08","ids":{"openalex":"https://openalex.org/W7154471865","doi":"https://doi.org/10.1145/3774906.3802770"},"language":null,"primary_location":{"id":"doi:10.1145/3774906.3802770","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774906.3802770","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774906.3802770","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103143435","display_name":"Jiani Cao","orcid":"https://orcid.org/0000-0002-8211-3564"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Jiani Cao","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-8211-3564","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133712195","display_name":"Kun Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kun Wang","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-0149-9857","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133719525","display_name":"Yang Liu","orcid":"https://orcid.org/0009-0009-6180-6431"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Department of Computer Science, Florida State University, Tallahassee, USA"],"raw_orcid":"https://orcid.org/0000-0002-2474-2004","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Florida State University, Tallahassee, USA","institution_ids":["https://openalex.org/I103163165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100419078","display_name":"Zhenjiang Li","orcid":"https://orcid.org/0000-0001-7636-2962"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhenjiang Li","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-3296-3392","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103143435"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":14.8158,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.98792919,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"661","last_page":"674"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9970999956130981,"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":0.9970999956130981,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/robustness","display_name":"Robustness (evolution)","score":0.7290999889373779},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.71670001745224},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6230999827384949},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.6065999865531921},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor imagery","score":0.6026999950408936},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4041999876499176},{"id":"https://openalex.org/keywords/neural-decoding","display_name":"Neural decoding","score":0.39329999685287476},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.36000001430511475},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.34689998626708984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7426999807357788},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7290999889373779},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.71670001745224},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6230999827384949},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.6065999865531921},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.6026999950408936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5062000155448914},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4041999876499176},{"id":"https://openalex.org/C40743351","wikidata":"https://www.wikidata.org/wiki/Q7002049","display_name":"Neural decoding","level":3,"score":0.39329999685287476},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.36000001430511475},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3594000041484833},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.34689998626708984},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3425999879837036},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.33809998631477356},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.32899999618530273},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3237999975681305},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3206000030040741},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31850001215934753},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.3149000108242035},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.289000004529953},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2863999903202057},{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C168451700","wikidata":"https://www.wikidata.org/wiki/Q1306528","display_name":"Neural engineering","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.25369998812675476},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3774906.3802770","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774906.3802770","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2604.09654","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2604.09654","pdf_url":"https://arxiv.org/pdf/2604.09654","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3774906.3802770","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774906.3802770","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Motor":[0],"Imagery":[1],"(MI)":[2],"is":[3],"an":[4],"emerging":[5],"Brain\u2013Computer":[6],"Interface":[7],"(BCI)":[8],"paradigm":[9],"in":[10,42,55,80,94,108],"which":[11,91],"a":[12,15,71],"person":[13],"imagines":[14],"body":[16],"movement":[17],"without":[18],"any":[19],"physical":[20],"action.":[21],"By":[22],"decoding":[23],"the":[24,138],"scalp-recorded":[25],"electroencephalography":[26],"(EEG)":[27],"signals,":[28],"BCIs":[29],"can":[30],"establish":[31],"direct":[32],"communication":[33],"pathways":[34],"to":[35,53,84,119],"control":[36],"external":[37],"devices,":[38],"offering":[39],"significant":[40],"potential":[41],"prosthetics,":[43],"rehabilitation,":[44],"and":[45,82,111],"human\u2013computer":[46],"interaction.":[47],"However,":[48],"existing":[49],"solutions":[50],"remain":[51],"difficult":[52],"deploy":[54],"practice.":[56],"(i)":[57],"Most":[58],"employ":[59],"independent,":[60],"opaque":[61],"models":[62,77,114],"for":[63],"each":[64],"MI":[65],"task.":[66],"This":[67],"fragmented":[68],"methodology":[69],"lacks":[70],"unified":[72],"architectural":[73],"foundation.":[74],"Consequently,":[75],"these":[76,135],"are":[78],"trained":[79,115],"isolation":[81],"fail":[83,120],"learn":[85],"robust":[86],"representations":[87],"from":[88],"diverse":[89],"datasets,":[90],"often":[92],"results":[93],"modest":[95],"performance.":[96],"(ii)":[97],"They":[98],"primarily":[99],"adopt":[100],"fixed":[101],"sensor":[102],"deployment,":[103],"whereas":[104],"real-world":[105],"setups":[106],"vary":[107],"electrode":[109],"number":[110],"placement,":[112],"causing":[113],"on":[116],"one":[117],"configuration":[118],"under":[121,127],"another.":[122],"(iii)":[123],"Performance":[124],"degrades":[125],"sharply":[126],"low-SNR":[128],"conditions":[129],"typical":[130],"of":[131,141],"consumer-grade":[132],"EEG.":[133],"Together,":[134],"limitations":[136],"hinder":[137],"practical":[139],"adoption":[140],"MI-based":[142],"BCIs.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-02T09:04:35.204637","created_date":"2026-04-16T00:00:00"}