{"id":"https://openalex.org/W2909819885","doi":"https://doi.org/10.1109/icarm.2018.8610776","title":"Real-Time MEG-Based Brain-Geminoid Control Using Single-trial SVM Classification","display_name":"Real-Time MEG-Based Brain-Geminoid Control Using Single-trial SVM Classification","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2909819885","doi":"https://doi.org/10.1109/icarm.2018.8610776","mag":"2909819885"},"language":"en","primary_location":{"id":"doi:10.1109/icarm.2018.8610776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarm.2018.8610776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 3rd International Conference on Advanced Robotics and Mechatronics (ICARM)","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/A5076351563","display_name":"Abdelkader Nasreddine Belkacem","orcid":"https://orcid.org/0000-0002-3024-4167"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Abdelkader Nasreddine Belkacem","raw_affiliation_strings":["Endowed Research Department of Clinical Neuroengineering, Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Endowed Research Department of Clinical Neuroengineering, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101425832","display_name":"Hiroshi Ishiguro","orcid":"https://orcid.org/0000-0002-0805-7648"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Ishiguro","raw_affiliation_strings":["Department of System Innovation, Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Department of System Innovation, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101660589","display_name":"Shuichi Nishio","orcid":"https://orcid.org/0000-0002-1432-1994"},"institutions":[{"id":"https://openalex.org/I4210104143","display_name":"Advanced Telecommunications Research Institute International","ror":"https://ror.org/01pe1d703","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210104143"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shuichi Nishio","raw_affiliation_strings":["Advanced Telecommunications Research, Institute International, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Advanced Telecommunications Research, Institute International, Kyoto, Japan","institution_ids":["https://openalex.org/I4210104143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076091176","display_name":"Masayuki Hirata","orcid":"https://orcid.org/0000-0002-9813-6728"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masayuki Hirata","raw_affiliation_strings":["Endowed Research Department of Clinical Neuroengineering, Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Endowed Research Department of Clinical Neuroengineering, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101709659","display_name":"Takafumi Suzuki","orcid":"https://orcid.org/0000-0001-9404-9654"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]},{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takafumi Suzuki","raw_affiliation_strings":["Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology, and Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology, and Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I90023481","https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5076351563"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":0.6173,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.67291106,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"679","last_page":"684"},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9901000261306763,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9901000261306763,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.9126827716827393},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7751898765563965},{"id":"https://openalex.org/keywords/magnetoencephalography","display_name":"Magnetoencephalography","score":0.738333523273468},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6651867032051086},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5886917114257812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.509175717830658},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.47196802496910095},{"id":"https://openalex.org/keywords/humanoid-robot","display_name":"Humanoid robot","score":0.46645087003707886},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4065977931022644},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38056671619415283},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.25755512714385986},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.23736318945884705},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1623935103416443},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.14424040913581848}],"concepts":[{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.9126827716827393},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7751898765563965},{"id":"https://openalex.org/C556910895","wikidata":"https://www.wikidata.org/wiki/Q384188","display_name":"Magnetoencephalography","level":3,"score":0.738333523273468},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6651867032051086},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5886917114257812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.509175717830658},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.47196802496910095},{"id":"https://openalex.org/C60692881","wikidata":"https://www.wikidata.org/wiki/Q584529","display_name":"Humanoid robot","level":3,"score":0.46645087003707886},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4065977931022644},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38056671619415283},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.25755512714385986},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.23736318945884705},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1623935103416443},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.14424040913581848},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarm.2018.8610776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarm.2018.8610776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 3rd International Conference on Advanced Robotics and Mechatronics (ICARM)","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/W761794142","https://openalex.org/W1545922961","https://openalex.org/W1564064088","https://openalex.org/W2010371409","https://openalex.org/W2054497530","https://openalex.org/W2087704839","https://openalex.org/W2102176429","https://openalex.org/W2106006415","https://openalex.org/W2126985405","https://openalex.org/W2141885969","https://openalex.org/W2144910141","https://openalex.org/W2160405996","https://openalex.org/W2301660868","https://openalex.org/W2505895411","https://openalex.org/W2544026523"],"related_works":["https://openalex.org/W2090251673","https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W3096545521","https://openalex.org/W2410200900","https://openalex.org/W2044053727","https://openalex.org/W2013261033","https://openalex.org/W1994410349","https://openalex.org/W3177028067","https://openalex.org/W2033211697"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"presents":[4],"a":[5,20,59,65,70,97],"novel":[6],"non-invasive":[7],"brain-Geminoid":[8,104],"control":[9,27,58,105],"system":[10],"by":[11],"using":[12,83,132],"single-trial":[13],"classification":[14,94,108],"of":[15,48,54,96,135],"bimanual":[16,49,80,127],"movements":[17,47,82,129],"to":[18,57,76,111,143],"achieving":[19],"noninvasive":[21],"brain-computer":[22],"interface":[23],"(BCI)":[24],"with":[25,32,107],"many":[26],"dimensions":[28],"and":[29],"easily":[30],"interact":[31],"an":[33],"outdoor":[34],"complex":[35],"environment":[36],"in":[37,114,130],"real-time.":[38],"Two":[39],"BCI-naive":[40],"subjects":[41],"performed":[42],"or":[43],"imagined":[44],"performing":[45],"4":[46,79],"hand":[50,81,128],"during":[51],"the":[52,78,89,133,136],"measurement":[53],"magnetic":[55,138],"fields":[56,139],"Geminoid":[60],"HI-2":[61],"(humanoid":[62],"robot)":[63],"through":[64],"multidimensional":[66],"BCI.":[67],"We":[68],"applied":[69],"nonlinear":[71],"support":[72],"vector":[73],"machine":[74],"(SVM)":[75],"classify":[77],"114":[84],"magnetoencephalography":[85],"(MEG)":[86],"sensors":[87],"over":[88],"sensorimotor":[90],"cortex.":[91],"The":[92],"mean":[93],"accuracy":[95],"2-class":[98],"decoding":[99,126],"was":[100],"suitable":[101],"for":[102],"real-time":[103,131],"application,":[106],"accuracies":[109],"equivalent":[110],"those":[112],"obtained":[113],"precedent":[115],"BCI":[116],"studies":[117],"involving":[118],"uni-manual":[119],"movements.":[120],"Moreover,":[121],"our":[122],"results":[123],"demonstrated":[124],"that":[125],"amplitudes":[134],"event-related":[137],"is":[140],"very":[141],"promising":[142],"implement":[144],"multidimensional-control":[145],"based":[146],"BCIs.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}