{"id":"https://openalex.org/W7126030534","doi":"https://doi.org/10.1109/bibm66473.2025.11357212","title":"Home Robot Motor Imagery Interaction and Emotional Awareness Based on Multimodal EEG Feature Extraction","display_name":"Home Robot Motor Imagery Interaction and Emotional Awareness Based on Multimodal EEG Feature Extraction","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126030534","doi":"https://doi.org/10.1109/bibm66473.2025.11357212"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11357212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11357212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5074232429","display_name":"Tie Hua Zhou","orcid":"https://orcid.org/0000-0002-3258-0244"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tie Hua Zhou","raw_affiliation_strings":["School of Computer Science, Northeast Electric Power University,Jilin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northeast Electric Power University,Jilin,China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003471569","display_name":"Chunxu Yang","orcid":"https://orcid.org/0009-0006-6776-7486"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunxu Yang","raw_affiliation_strings":["School of Computer Science, Northeast Electric Power University,Jilin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northeast Electric Power University,Jilin,China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124170739","display_name":"Dongsheng Li","orcid":null},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongsheng Li","raw_affiliation_strings":["School of Computer Science, Northeast Electric Power University,Jilin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northeast Electric Power University,Jilin,China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082099097","display_name":"L. Guo and H. Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Wang","raw_affiliation_strings":["School of Computer Science, Northeast Electric Power University,Jilin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northeast Electric Power University,Jilin,China","institution_ids":["https://openalex.org/I179060312"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.66169622,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4705","last_page":"4712"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9607999920845032,"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":0.9607999920845032,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.023900000378489494,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.003000000026077032,"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":0.715499997138977},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5993000268936157},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5918999910354614},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.5493999719619751},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46059998869895935},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4196000099182129},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.41769999265670776},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4043000042438507},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38690000772476196}],"concepts":[{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.715499997138977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6675999760627747},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5993000268936157},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5918999910354614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5817999839782715},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.5493999719619751},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46059998869895935},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4196000099182129},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4189999997615814},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.41769999265670776},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4043000042438507},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38690000772476196},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.37869998812675476},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3781000077724457},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.35339999198913574},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.33980000019073486},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.3221000134944916},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.3206000030040741},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.3154999911785126},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3041999936103821},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.289900004863739},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.2831000089645386},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2533999979496002}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11357212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11357212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":17,"referenced_works":["https://openalex.org/W2002055708","https://openalex.org/W2793397193","https://openalex.org/W3165534890","https://openalex.org/W4294975661","https://openalex.org/W4300942166","https://openalex.org/W4308346348","https://openalex.org/W4308429714","https://openalex.org/W4361306082","https://openalex.org/W4388917917","https://openalex.org/W4389340576","https://openalex.org/W4391620986","https://openalex.org/W4391669374","https://openalex.org/W4393282106","https://openalex.org/W4394990241","https://openalex.org/W4395071103","https://openalex.org/W4399331817","https://openalex.org/W4402158248"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,67,100,118],"rapid":[2],"advancement":[3],"of":[4,11,93],"Brain-Computer":[5],"Interface":[6],"(BCI)":[7],"technology,":[8],"real-time":[9],"control":[10],"external":[12],"devices":[13],"via":[14],"electroencephalogram":[15],"(EEG)":[16],"signals":[17],"has":[18],"become":[19],"feasible,":[20],"offering":[21],"new":[22],"avenues":[23],"for":[24,79,106,140],"building":[25],"more":[26],"natural":[27],"and":[28,63,73,84,96,103,109,124,131,142],"efficient":[29],"human-computer":[30],"interaction":[31,134],"systems.":[32],"To":[33],"address":[34],"these":[35],"issues,":[36],"this":[37],"paper":[38],"proposes":[39],"a":[40,75,137],"Rule-based":[41],"Motor":[42],"Imagery":[43],"Interaction":[44],"Model":[45],"(Rule-MII":[46],"Model)":[47],"that":[48,117],"combines":[49],"rule":[50,77],"matching":[51],"with":[52],"multifeature":[53],"fusion.":[54],"By":[55],"leveraging":[56],"discrete":[57],"wavelet":[58],"transforms,":[59],"timefrequency":[60],"domain":[61],"analysis,":[62],"symbolic":[64],"pattern":[65],"mining,":[66],"model":[68,89],"extracts":[69],"multidimensional":[70],"EEG":[71,128],"features":[72],"constructs":[74],"standard":[76],"set":[78],"recognizing":[80],"users'":[81],"motor":[82,107],"intentions":[83],"emotional":[85],"states.":[86],"The":[87],"proposed":[88,119],"achieves":[90],"classification":[91],"accuracies":[92],"91.0":[94],"%":[95,98],"92.7":[97],"on":[99],"public":[101],"BCI2a":[102],"DEAP":[104],"datasets":[105],"imagery":[108],"emotion":[110],"recognition":[111],"tasks,":[112],"respectively.":[113],"Experimental":[114],"results":[115],"demonstrate":[116],"method":[120],"exhibits":[121],"strong":[122],"accuracy":[123],"responsiveness":[125],"in":[126],"multimodal":[127],"signal":[129],"modeling":[130],"mixed-reality-based":[132],"human-robot":[133,144],"control,":[135],"providing":[136],"promising":[138],"solution":[139],"immersive":[141],"context-aware":[143],"collaboration.":[145]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-01-30T00:00:00"}