{"id":"https://openalex.org/W7117464218","doi":"https://doi.org/10.1145/3714394.3756273","title":"A Convolutional Block Attention Module and Multi-band Fusion Network for Embedded AR-SSVEP BCI Systems","display_name":"A Convolutional Block Attention Module and Multi-band Fusion Network for Embedded AR-SSVEP BCI Systems","publication_year":2025,"publication_date":"2025-10-12","ids":{"openalex":"https://openalex.org/W7117464218","doi":"https://doi.org/10.1145/3714394.3756273"},"language":"en","primary_location":{"id":"doi:10.1145/3714394.3756273","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3714394.3756273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5121515879","display_name":"Hao Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Zhang","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0005-3085-5004","affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032648354","display_name":"Y. Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Sun","raw_affiliation_strings":["School of Interdisciplinary Science, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0347-6269","affiliations":[{"raw_affiliation_string":"School of Interdisciplinary Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072223131","display_name":"Qiaoyi Wang","orcid":"https://orcid.org/0009-0001-6615-012X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaoyi Wang","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0006-3327-6427","affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121447749","display_name":"Kang Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Ma","raw_affiliation_strings":["School of Interdisciplinary Science, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9996-8115","affiliations":[{"raw_affiliation_string":"School of Interdisciplinary Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121481555","display_name":"Shuailei Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Shuailei Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-4999-8919","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026691016","display_name":"Feiyang Zhang","orcid":"https://orcid.org/0000-0002-8348-9213"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiyang Zhang","raw_affiliation_strings":["School of Instrument Science and Optoelectronic Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8348-9213","affiliations":[{"raw_affiliation_string":"School of Instrument Science and Optoelectronic Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chun Hu","orcid":"https://orcid.org/0000-0002-7735-7986"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Hu","raw_affiliation_strings":["School of Interdisciplinary Science, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7735-7986","affiliations":[{"raw_affiliation_string":"School of Interdisciplinary Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072074280","display_name":"Dezhi Zheng","orcid":"https://orcid.org/0000-0003-3998-5989"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dezhi Zheng","raw_affiliation_strings":["School of Interdisciplinary Science, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3998-5989","affiliations":[{"raw_affiliation_string":"School of Interdisciplinary Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1327","last_page":"1333"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9732999801635742,"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":0.9732999801635742,"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":0.0044999998062849045,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.003100000089034438,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6496999859809875},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5733000040054321},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.571399986743927},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.5447999835014343},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.46470001339912415},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.45730000734329224},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4009000062942505},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3666999936103821}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8180999755859375},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6496999859809875},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5733000040054321},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.571399986743927},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.5447999835014343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4909999966621399},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.46470001339912415},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.45730000734329224},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4009000062942505},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37610000371932983},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3666999936103821},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33959999680519104},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3287000060081482},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3172999918460846},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.30720001459121704},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.30640000104904175},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3028999865055084},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.26190000772476196},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.25999999046325684},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2529999911785126},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.25130000710487366}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3714394.3756273","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3714394.3756273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/205319","is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/205319","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2015210500","https://openalex.org/W2103032521","https://openalex.org/W2143183535","https://openalex.org/W2553904372","https://openalex.org/W2559463885","https://openalex.org/W2605492512","https://openalex.org/W2792885690","https://openalex.org/W2891564944","https://openalex.org/W2966567899","https://openalex.org/W2989410370","https://openalex.org/W2997852382","https://openalex.org/W3162000828","https://openalex.org/W3164941915","https://openalex.org/W4224247866","https://openalex.org/W4224993674","https://openalex.org/W4283275382","https://openalex.org/W4283398814","https://openalex.org/W4283655414","https://openalex.org/W4293697951","https://openalex.org/W4297095638","https://openalex.org/W4312019182","https://openalex.org/W4360770697","https://openalex.org/W4386987620"],"related_works":[],"abstract_inverted_index":{"Brain-computer":[0],"interfaces":[1],"(BCI)":[2],"based":[3],"on":[4,30,114,119,136],"augmented":[5],"reality":[6],"steady-state":[7],"visual":[8,49,62],"evoked":[9],"potentials":[10],"(AR-SSVEP)":[11],"face":[12],"critical":[13],"challenges":[14],"in":[15,85,160],"mobile":[16,31],"environments,":[17],"including":[18],"low":[19],"signal-to-noise":[20],"ratio":[21],"(SNR)":[22],"from":[23],"dry":[24,86],"electrodes":[25],"and":[26,81,117,164],"limited":[27],"computational":[28],"resources":[29],"embedded":[32,138,161],"platforms.":[33],"To":[34],"optimize":[35],"the":[36,44,75,98,155],"AR-SSVEP":[37,122],"system":[38],"performance,":[39],"this":[40],"study":[41],"comprehensively":[42],"considers":[43],"stimulus-response":[45],"coupling":[46],"mechanism":[47],"integrating":[48],"optical":[50],"principles":[51],"with":[52,104,146],"deep":[53],"learning-based":[54],"classification.":[55],"First,":[56],"we":[57,89],"designed":[58],"an":[59,137,147],"optimal":[60],"AR":[61],"stimulation":[63],"configuration":[64],"scheme":[65],"capable":[66],"of":[67,79,112,127,151,158],"adaptively":[68],"adjusting":[69],"key":[70],"parameters.":[71],"Second,":[72],"to":[73,129],"address":[74],"time-varying":[76],"non-stationary":[77],"characteristics":[78],"SSVEP":[80,93],"inter-electrode":[82],"quality":[83],"variations":[84],"electrode":[87],"systems,":[88],"propose":[90],"CBAM-FNet-a":[91],"lightweight":[92],"detection":[94],"algorithm":[95,108],"that":[96],"incorporates":[97],"Convolutional":[99],"Block":[100],"Attention":[101],"Module":[102],"(CBAM)":[103],"multi-band":[105],"fusion.":[106],"The":[107],"achieves":[109],"classification":[110],"accuracies":[111],"93.84%":[113],"benchmark":[115],"datasets":[116],"74.43%":[118],"our":[120],"self-collected":[121],"dataset,":[123],"representing":[124],"performance":[125,167],"improvements":[126],"up":[128],"22.96%":[130],"over":[131],"state-of-the-art":[132],"methods.":[133],"Real-time":[134],"implementation":[135],"unmanned":[139],"vehicle":[140],"platform":[141],"demonstrates":[142],"65%":[143],"control":[144],"accuracy":[145],"information":[148],"transfer":[149],"rate":[150],"50.35":[152],"bits/min,":[153],"validating":[154],"practical":[156],"value":[157],"CBAM-FNet":[159],"BCI":[162],"applications":[163],"overcoming":[165],"hardware-imposed":[166],"limitations.":[168]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-12-29T00:00:00"}
