{"id":"https://openalex.org/W2937066076","doi":"https://doi.org/10.1109/icassp.2019.8683308","title":"Bhattacharyya Distance-based Transfer Learning for a Hybrid EEG-FTCD Brain-computer Interface","display_name":"Bhattacharyya Distance-based Transfer Learning for a Hybrid EEG-FTCD Brain-computer Interface","publication_year":2019,"publication_date":"2019-04-16","ids":{"openalex":"https://openalex.org/W2937066076","doi":"https://doi.org/10.1109/icassp.2019.8683308","mag":"2937066076"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8683308","doi":"https://doi.org/10.1109/icassp.2019.8683308","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683308","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":"1520-6149","issn":["1520-6149","2379-190X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"volume":null,"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/A5107205476","display_name":"Elise Dagois","orcid":"https://orcid.org/0000-0002-5496-8733","observed_orcids":["https://orcid.org/0000-0002-5496-8733"]},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elise Dagois","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA","Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027821813","display_name":"Aya F. Khalaf","orcid":"https://orcid.org/0000-0002-3736-580X","observed_orcids":["https://orcid.org/0000-0002-3736-580X"]},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aya Khalaf","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA","Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031279847","display_name":"Ervin Sejdi\u0107","orcid":"https://orcid.org/0000-0003-4987-8298","observed_orcids":["https://orcid.org/0000-0003-4987-8298"]},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ervin Sejdic","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA","Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007822978","display_name":"Murat Ak\u00e7akaya","orcid":"https://orcid.org/0000-0001-5094-1931","observed_orcids":["https://orcid.org/0000-0001-5094-1931"]},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Murat Akcakaya","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA","Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170201317"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.01855567,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"3082","last_page":"3086"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9990000128746033,"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":0.9990000128746033,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":9.999999747378752e-05,"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"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.878000020980835},{"id":"https://openalex.org/keywords/hybrid-brain-computer-interface","display_name":"hybrid brain-computer interface","score":0.9179999828338623},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"EEG","score":0.8629999756813049},{"id":"https://openalex.org/keywords/functional-transcranial-doppler-ultrasound","display_name":"functional transcranial Doppler ultrasound","score":0.9430000185966492},{"id":"https://openalex.org/keywords/cerebral-blood-flow-velocity","display_name":"cerebral blood flow velocity","score":0.8790000081062317},{"id":"https://openalex.org/keywords/mental-rotation","display_name":"mental rotation","score":0.8140000104904175},{"id":"https://openalex.org/keywords/word-production","display_name":"word production","score":0.9470000267028809},{"id":"https://openalex.org/keywords/regularized-discriminant-analysis","display_name":"regularized discriminant analysis","score":0.8169999718666077},{"id":"https://openalex.org/keywords/kullback-leibler-divergence","display_name":"Kullback-Leibler divergence","score":0.8899999856948853},{"id":"https://openalex.org/keywords/bhattacharyya-distance","display_name":"Bhattacharyya distance","score":0.9959999918937683},{"id":"https://openalex.org/keywords/hellinger-distance","display_name":"Hellinger distance","score":0.9819999933242798},{"id":"https://openalex.org/keywords/calibration-reduction","display_name":"calibration reduction","score":0.503000020980835},{"id":"https://openalex.org/keywords/quadratic-discriminant-analysis","display_name":"quadratic discriminant analysis","score":0.7910000085830688},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"linear discriminant analysis","score":0.9369999766349792},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.9940000176429749}],"concepts":[{"id":"https://openalex.org/C24145651","wikidata":"https://www.wikidata.org/wiki/Q2901249","display_name":"Bhattacharyya distance","level":2,"score":0.775725245475769},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.7647480368614197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6636670231819153},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.6442878246307373},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6015631556510925},{"id":"https://openalex.org/C52620605","wikidata":"https://www.wikidata.org/wiki/Q7268357","display_name":"Quadratic classifier","level":3,"score":0.5773611068725586},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5376940965652466},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.519097089767456},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5089516639709473},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.48859935998916626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3746838867664337},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.3594588041305542},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3531564772129059},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09760648012161255},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2019.8683308","doi":"https://doi.org/10.1109/icassp.2019.8683308","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683308","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":"1520-6149","issn":["1520-6149","2379-190X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.4000000059604645}],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W195533127","https://openalex.org/W198476427","https://openalex.org/W1480376833","https://openalex.org/W1881549354","https://openalex.org/W1973322441","https://openalex.org/W1992305955","https://openalex.org/W2032808202","https://openalex.org/W2044251627","https://openalex.org/W2045561515","https://openalex.org/W2046649434","https://openalex.org/W2106822551","https://openalex.org/W2132876794","https://openalex.org/W2165698076","https://openalex.org/W2592571405","https://openalex.org/W2605492512","https://openalex.org/W2883645800","https://openalex.org/W3109254476","https://openalex.org/W4255421341"],"related_works":["https://openalex.org/W2899758774","https://openalex.org/W2945712548","https://openalex.org/W3016940618","https://openalex.org/W2920410445","https://openalex.org/W2989312918","https://openalex.org/W2746829572","https://openalex.org/W2906104384","https://openalex.org/W4319986890","https://openalex.org/W3204544921","https://openalex.org/W3040882137"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"introduce":[4],"a":[5,50],"transfer":[6,119,146],"learning":[7,120,147],"approach":[8],"for":[9],"our":[10],"novel":[11],"hybrid":[12],"brain-computer":[13],"interface":[14],"in":[15],"which":[16],"electroencephalography":[17],"and":[18,31,41,95,111],"functional":[19],"transcranial":[20],"Doppler":[21],"ultrasound":[22],"are":[23],"used":[24],"simultaneously":[25],"to":[26,37,78,126,141],"record":[27],"brain":[28],"electrical":[29],"activity":[30],"cerebral":[32],"blood":[33],"velocity":[34],"respectively":[35],"due":[36],"flickering":[38],"mental":[39,67,80],"rotation":[40],"word":[42],"generation":[43],"tasks.":[44],"We":[45,116],"reduced":[46],"each":[47,59,66],"trial":[48],"into":[49],"scalar":[51],"score":[52],"using":[53,71,91,102],"Regularized":[54],"Discriminant":[55,104,108],"Analysis":[56,105,109],"(RDA).":[57],"For":[58],"individual,":[60],"class":[61,84],"conditional":[62,85],"probabilistic":[63],"distribution":[64],"of":[65,74],"task":[68,99],"was":[69,100,130],"estimated":[70],"RDA":[72],"scores":[73],"the":[75,135,142],"trials":[76],"corresponding":[77],"that":[79,118,132],"task.":[81],"Similarities":[82],"between":[83],"distributions":[86],"across":[87],"individuals":[88],"were":[89],"measured":[90],"Kullback-Leibler":[92],"divergence,":[93],"Bhattacharyya,":[94],"Hellinger":[96],"distances.":[97],"Classification":[98],"performed":[101],"Quadratic":[103],"(QDA),":[106],"Linear":[107],"(LDA),":[110],"Support":[112],"Vector":[113],"Machines":[114],"(SVM).":[115],"demonstrate":[117],"can":[121],"reduce":[122],"calibration":[123],"requirements":[124],"up":[125],"%87.5.":[127],"Moreover,":[128],"it":[129],"found":[131],"QDA":[133],"provides":[134],"most":[136],"significant":[137],"performance":[138],"improvement":[139],"compared":[140],"case":[143],"when":[144],"no":[145],"is":[148],"employed.":[149]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2019-04-25T00:00:00"}