{"id":"https://openalex.org/W2978800894","doi":"https://doi.org/10.1109/ijcnn.2019.8852216","title":"Generalized Alignment for Multimodal Physiological Signal Learning","display_name":"Generalized Alignment for Multimodal Physiological Signal Learning","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2978800894","doi":"https://doi.org/10.1109/ijcnn.2019.8852216","mag":"2978800894"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8852216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","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/A5102019706","display_name":"Yuchi Liu","orcid":"https://orcid.org/0000-0001-9061-6180"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Yuchi Liu","raw_affiliation_strings":["Australian National University, Canberra, Australia"],"affiliations":[{"raw_affiliation_string":"Australian National University, Canberra, Australia","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101863447","display_name":"Yue Yao","orcid":"https://orcid.org/0000-0002-3673-3682"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yue Yao","raw_affiliation_strings":["Australian National University, Canberra, Australia"],"affiliations":[{"raw_affiliation_string":"Australian National University, Canberra, Australia","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058550256","display_name":"Zhengjie Wang","orcid":"https://orcid.org/0000-0003-3179-3026"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zhengjie Wang","raw_affiliation_strings":["Australian National University, Canberra, Australia"],"affiliations":[{"raw_affiliation_string":"Australian National University, Canberra, Australia","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027433608","display_name":"Josephine Plested","orcid":null},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Josephine Plested","raw_affiliation_strings":["Australian National University, Canberra, Australia"],"affiliations":[{"raw_affiliation_string":"Australian National University, Canberra, Australia","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030379402","display_name":"Tom Gedeon","orcid":"https://orcid.org/0000-0001-8356-4909"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Tom Gedeon","raw_affiliation_strings":["Australian National University, Canberra, Australia"],"affiliations":[{"raw_affiliation_string":"Australian National University, Canberra, Australia","institution_ids":["https://openalex.org/I118347636"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102019706"],"corresponding_institution_ids":["https://openalex.org/I118347636"],"apc_list":null,"apc_paid":null,"fwci":0.4864,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.6342822,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9987999796867371,"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":0.9987999796867371,"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":0.998199999332428,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.6639500856399536},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.471934050321579},{"id":"https://openalex.org/keywords/multimodality","display_name":"Multimodality","score":0.4327211081981659},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39922961592674255},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3715950548648834},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06989473104476929}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6639500856399536},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.471934050321579},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.4327211081981659},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39922961592674255},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3715950548648834},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06989473104476929},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8852216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W98188630","https://openalex.org/W262578090","https://openalex.org/W1523385540","https://openalex.org/W1540429825","https://openalex.org/W1905882502","https://openalex.org/W1963753144","https://openalex.org/W1990303997","https://openalex.org/W2002055708","https://openalex.org/W2010955895","https://openalex.org/W2026243162","https://openalex.org/W2047623006","https://openalex.org/W2062632672","https://openalex.org/W2080501585","https://openalex.org/W2097689067","https://openalex.org/W2105616895","https://openalex.org/W2120019338","https://openalex.org/W2135890809","https://openalex.org/W2144994235","https://openalex.org/W2150696241","https://openalex.org/W2159613676","https://openalex.org/W2164025253","https://openalex.org/W2164186291","https://openalex.org/W2166712377","https://openalex.org/W2176865601","https://openalex.org/W2184188583","https://openalex.org/W2260011764","https://openalex.org/W2394668257","https://openalex.org/W2397159106","https://openalex.org/W2417142196","https://openalex.org/W2474638510","https://openalex.org/W2516547184","https://openalex.org/W2518937691","https://openalex.org/W2565944610","https://openalex.org/W2604843307","https://openalex.org/W2613677041","https://openalex.org/W2619383789","https://openalex.org/W2623638694","https://openalex.org/W2652015611","https://openalex.org/W2739142886","https://openalex.org/W2765746460","https://openalex.org/W2784831738","https://openalex.org/W2901348372","https://openalex.org/W2901383445","https://openalex.org/W2962699674","https://openalex.org/W2963855931","https://openalex.org/W2963919481","https://openalex.org/W2964089981","https://openalex.org/W2979091626","https://openalex.org/W4235485727","https://openalex.org/W4255455317","https://openalex.org/W4285719527","https://openalex.org/W6604091132","https://openalex.org/W6608523365","https://openalex.org/W6631216910","https://openalex.org/W6632281313","https://openalex.org/W6662714818","https://openalex.org/W6675051224","https://openalex.org/W6682511423","https://openalex.org/W6684147421","https://openalex.org/W6685893538","https://openalex.org/W6686207219","https://openalex.org/W6693046712","https://openalex.org/W6712236374","https://openalex.org/W6712802073","https://openalex.org/W6716879882","https://openalex.org/W6725250787","https://openalex.org/W6736429057","https://openalex.org/W6739603000","https://openalex.org/W6768686868"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4205899436","https://openalex.org/W2462138927","https://openalex.org/W3111427900","https://openalex.org/W4302009627","https://openalex.org/W4212781403","https://openalex.org/W4388989680","https://openalex.org/W2901011898","https://openalex.org/W3160379098","https://openalex.org/W2373442452"],"abstract_inverted_index":{"Revealing":[0],"the":[1,40,48,80,102,131,142,148],"correspondences":[2,24],"and":[3,12,90],"relationships":[4],"between":[5,25,31,104],"physiological":[6,33,50,75,84,134],"signals":[7,34,51,76,85,108],"is":[8,17,35],"attractive":[9],"for":[10,73],"bioinformatics":[11],"human-computer":[13],"interaction.":[14],"Time":[15],"alignment":[16,30,71,116,143],"a":[18,68,87,98],"straightforward":[19],"way":[20],"to":[21,37,45,95,125],"figure":[22],"out":[23],"time":[26,70],"sequential":[27],"data.":[28],"However,":[29],"multimodal":[32,74,118,133],"hard":[36],"achieve":[38],"because":[39],"similarity":[41,103],"metrics":[42],"are":[43,54],"difficult":[44],"define":[46],"if":[47],"two":[49,107],"being":[52],"investigated":[53],"non-linearly":[55],"correlated,":[56],"misaligned":[57],"or":[58],"quite":[59],"different":[60],"in":[61,86,97,152],"morphology.":[62],"In":[63],"this":[64],"paper,":[65],"we":[66,113],"propose":[67],"generalized":[69,88],"method":[72],"which":[77],"(i)":[78],"learns":[79],"feature":[81,119,145,150],"extractions":[82],"on":[83,121,130],"way,":[89],"(ii)":[91],"enables":[92],"learned":[93],"features":[94],"be":[96,110],"coordinated":[99],"space":[100],"where":[101],"sub-components":[105],"from":[106],"can":[109],"defined.":[111],"Furthermore,":[112],"applied":[114],"our":[115],"based":[117,144],"fusion":[120,146,151],"an":[122],"evaluation":[123],"model":[124],"perform":[126],"emotion":[127],"recognition":[128],"tasks":[129],"DEAP":[132],"signal":[135],"dataset.":[136],"The":[137],"experimental":[138],"results":[139],"show":[140],"that":[141],"outperforms":[147],"non-aligned":[149],"most":[153],"cases.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}