{"id":"https://openalex.org/W4391306153","doi":"https://doi.org/10.1109/rose60297.2023.10410800","title":"Image Reconstruction from Visual Perception and Visual Imagery for BMI Systems","display_name":"Image Reconstruction from Visual Perception and Visual Imagery for BMI Systems","publication_year":2023,"publication_date":"2023-11-06","ids":{"openalex":"https://openalex.org/W4391306153","doi":"https://doi.org/10.1109/rose60297.2023.10410800"},"language":"en","primary_location":{"id":"doi:10.1109/rose60297.2023.10410800","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/rose60297.2023.10410800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Robotic and Sensors Environments (ROSE)","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/A5111324338","display_name":"Yuma Sugimoto","orcid":null},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yuma Sugimoto","raw_affiliation_strings":["Hosei University,Department of Mechanical Engineering,Tokyo,Japan","Department of Mechanical Engineering, Hosei University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Hosei University,Department of Mechanical Engineering,Tokyo,Japan","institution_ids":["https://openalex.org/I204291657"]},{"raw_affiliation_string":"Department of Mechanical Engineering, Hosei University, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091494958","display_name":"Goragod Pongthanisorn","orcid":"https://orcid.org/0009-0002-5958-4533"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Goragod Pongthanisorn","raw_affiliation_strings":["Hosei University,Graduate School of Science and Engineering,Tokyo,Japan","Graduate School of Science and Engineering, Hosei University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Hosei University,Graduate School of Science and Engineering,Tokyo,Japan","institution_ids":["https://openalex.org/I204291657"]},{"raw_affiliation_string":"Graduate School of Science and Engineering, Hosei University, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002360849","display_name":"Genci Capi","orcid":"https://orcid.org/0000-0003-2079-9959"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Genci Capi","raw_affiliation_strings":["Hosei University,Department of Mechanical Engineering,Tokyo,Japan","Department of Mechanical Engineering, Hosei University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Hosei University,Department of Mechanical Engineering,Tokyo,Japan","institution_ids":["https://openalex.org/I204291657"]},{"raw_affiliation_string":"Department of Mechanical Engineering, Hosei University, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111324338"],"corresponding_institution_ids":["https://openalex.org/I204291657"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22947499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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":0.9998999834060669,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9957000017166138,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9891999959945679,"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/perception","display_name":"Perception","score":0.6710216403007507},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6041722297668457},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5897998809814453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5745267271995544},{"id":"https://openalex.org/keywords/visual-perception","display_name":"Visual perception","score":0.5360114574432373},{"id":"https://openalex.org/keywords/stimulus","display_name":"Stimulus (psychology)","score":0.4936424493789673},{"id":"https://openalex.org/keywords/transformative-learning","display_name":"Transformative learning","score":0.4790964424610138},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.4758847951889038},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.4509800970554352},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4365497827529907},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.42921674251556396},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.4270763099193573},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.4177752435207367},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.31850939989089966},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.238794207572937},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22785505652427673},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.16839367151260376}],"concepts":[{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6710216403007507},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6041722297668457},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5897998809814453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5745267271995544},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.5360114574432373},{"id":"https://openalex.org/C2779918689","wikidata":"https://www.wikidata.org/wiki/Q3771842","display_name":"Stimulus (psychology)","level":2,"score":0.4936424493789673},{"id":"https://openalex.org/C70587473","wikidata":"https://www.wikidata.org/wiki/Q7834111","display_name":"Transformative learning","level":2,"score":0.4790964424610138},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.4758847951889038},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.4509800970554352},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4365497827529907},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.42921674251556396},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4270763099193573},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.4177752435207367},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.31850939989089966},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.238794207572937},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22785505652427673},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.16839367151260376},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rose60297.2023.10410800","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/rose60297.2023.10410800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Robotic and Sensors Environments (ROSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W241901432","https://openalex.org/W1959608418","https://openalex.org/W2081267156","https://openalex.org/W2757951733","https://openalex.org/W2786541991","https://openalex.org/W2888927777","https://openalex.org/W3042731641","https://openalex.org/W3045543146","https://openalex.org/W3211889820","https://openalex.org/W3216196091","https://openalex.org/W4286698123","https://openalex.org/W4378768720","https://openalex.org/W6640963894","https://openalex.org/W6748455135","https://openalex.org/W6853085521"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2169196470","https://openalex.org/W2099247362","https://openalex.org/W2936229268","https://openalex.org/W3112550159","https://openalex.org/W2040959874","https://openalex.org/W2129289742","https://openalex.org/W2113032778","https://openalex.org/W2156857781"],"abstract_inverted_index":{"Brain":[0],"Machine":[1],"Interface":[2],"(BMI)":[3],"has":[4,54],"emerged":[5],"as":[6],"a":[7,56],"transformative":[8],"technology,":[9],"enabling":[10],"direct":[11],"communication":[12],"between":[13],"the":[14,21,36,41,46,61,69,73,86,90,110,118,122,129,135,138,141],"human":[15],"brain":[16,79],"and":[17,103],"external":[18],"devices.":[19],"In":[20,81],"last":[22],"few":[23],"decades,":[24],"several":[25],"state-of-the-art":[26],"BMI":[27,62],"systems":[28],"have":[29],"been":[30],"proposed.":[31],"Those":[32],"works":[33,67],"focused":[34],"on":[35,109],"motor":[37],"imaginary":[38],"task":[39],"where":[40],"subjects":[42,124],"need":[43],"to":[44],"imagine":[45],"movement":[47],"of":[48,71,76,88,93,121,137,140],"their":[49],"body.":[50],"This":[51],"potential":[52],"application":[53],"become":[55],"widely":[57],"researched":[58],"topic":[59],"in":[60],"field.":[63],"Nonetheless,":[64],"not":[65],"many":[66],"evaluated":[68],"possibility":[70,136],"reconstructing":[72,89],"visual":[74,91,130],"perception":[75,92],"humans":[77,94],"via":[78],"signals.":[80,147],"this":[82],"work,":[83],"we":[84],"evaluate":[85],"outcomes":[87],"from":[95],"2":[96],"approaches:":[97],"1)":[98],"multimodal":[99],"variational":[100],"autoencoder":[101],"(MVAE)":[102],"2)":[104],"our":[105],"proposed":[106],"method":[107],"based":[108],"deep":[111],"modality":[112],"blending":[113],"network":[114],"(DMBN).":[115],"We":[116],"recorded":[117],"EEG":[119,146],"signals":[120],"different":[123],"while":[125],"they":[126],"were":[127],"perceiving":[128,142],"stimulus.":[131],"The":[132],"results":[133],"show":[134],"reconstruction":[139],"image":[143],"using":[144],"only":[145]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}