{"id":"https://openalex.org/W2557887185","doi":"https://doi.org/10.1109/taffc.2016.2635124","title":"Asynchronous and Event-Based Fusion Systems for Affect Recognition on Naturalistic Data in Comparison to Conventional Approaches","display_name":"Asynchronous and Event-Based Fusion Systems for Affect Recognition on Naturalistic Data in Comparison to Conventional Approaches","publication_year":2016,"publication_date":"2016-12-02","ids":{"openalex":"https://openalex.org/W2557887185","doi":"https://doi.org/10.1109/taffc.2016.2635124","mag":"2557887185"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2016.2635124","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2016.2635124","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/45781/45781.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023000450","display_name":"Florian Lingenfelser","orcid":"https://orcid.org/0000-0003-1582-9850"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Florian Lingenfelser","raw_affiliation_strings":["Lab for Human Centered Multimedia, HCM, Universit\u00e4t Augsburg, Augsburg, Germany"],"raw_orcid":"https://orcid.org/0000-0003-1582-9850","affiliations":[{"raw_affiliation_string":"Lab for Human Centered Multimedia, HCM, Universit\u00e4t Augsburg, Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060352345","display_name":"Johannes Wagner","orcid":"https://orcid.org/0000-0003-2389-410X"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Johannes Wagner","raw_affiliation_strings":["Lab for Human Centered Multimedia, HCM, Universit\u00e4t Augsburg, Augsburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab for Human Centered Multimedia, HCM, Universit\u00e4t Augsburg, Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100759486","display_name":"Jun Deng","orcid":"https://orcid.org/0000-0003-3196-8690"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jun Deng","raw_affiliation_strings":["Machine Intelligence & Signal Processing Group, MMK, Technische Universit\u00e4t M\u00fcnchen, M\u00fcnchen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Intelligence & Signal Processing Group, MMK, Technische Universit\u00e4t M\u00fcnchen, M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048774153","display_name":"Raymond Brueckner","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Raymond Brueckner","raw_affiliation_strings":["Machine Intelligence & Signal Processing Group, MMK, Technische Universit\u00e4t M\u00fcnchen, M\u00fcnchen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Intelligence & Signal Processing Group, MMK, Technische Universit\u00e4t M\u00fcnchen, M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043060302","display_name":"Bj\u00f6rn W. Schuller","orcid":"https://orcid.org/0000-0002-6478-8699"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bjorn Schuller","raw_affiliation_strings":["Machine Intelligence & Signal Processing Group, MMK, Technische Universit\u00e4t M\u00fcnchen, M\u00fcnchen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-6478-8699","affiliations":[{"raw_affiliation_string":"Machine Intelligence & Signal Processing Group, MMK, Technische Universit\u00e4t M\u00fcnchen, M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056684559","display_name":"Elisabeth Andr\u00e9","orcid":"https://orcid.org/0000-0002-2367-162X"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Elisabeth Andre","raw_affiliation_strings":["Lab for Human Centered Multimedia, HCM, Universit\u00e4t Augsburg, Augsburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab for Human Centered Multimedia, HCM, Universit\u00e4t Augsburg, Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.508,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.84149184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"9","issue":"4","first_page":"410","last_page":"423"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9987000226974487,"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/T10860","display_name":"Speech and Audio Processing","score":0.9926000237464905,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9894000291824341,"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/asynchronous-communication","display_name":"Asynchronous communication","score":0.8229783773422241},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7188009023666382},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.6475076675415039},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.5613937377929688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5567695498466492},{"id":"https://openalex.org/keywords/multimodality","display_name":"Multimodality","score":0.5198979377746582},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5197015404701233},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5022199153900146},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.44709864258766174},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.43680739402770996},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.4297226667404175},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36658090353012085},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33828651905059814}],"concepts":[{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.8229783773422241},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7188009023666382},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6475076675415039},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5613937377929688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5567695498466492},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.5198979377746582},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5197015404701233},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5022199153900146},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.44709864258766174},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.43680739402770996},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4297226667404175},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36658090353012085},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33828651905059814},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/taffc.2016.2635124","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2016.2635124","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-article"},{"id":"pmh:oai:uni-augsburg.opus-bayern.de:45781","is_oa":true,"landing_page_url":"https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/45781","pdf_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/45781/45781.pdf","source":{"id":"https://openalex.org/S4306400930","display_name":"OPUS (Augsburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119916105","host_organization_name":"Augsburg University","host_organization_lineage":["https://openalex.org/I119916105"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:uni-augsburg.opus-bayern.de:45781","is_oa":true,"landing_page_url":"https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/45781","pdf_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/45781/45781.pdf","source":{"id":"https://openalex.org/S4306400930","display_name":"OPUS (Augsburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119916105","host_organization_name":"Augsburg University","host_organization_lineage":["https://openalex.org/I119916105"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G434337789","display_name":null,"funder_award_id":"HORIZON2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7680384859","display_name":"Artificial Retrieval of Information Assistants - Virtual Agents with Linguistic Understanding, Social skills, and Personalised Aspects","funder_award_id":"645378","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7865797263","display_name":"Knowledge-Based Information Agent with Social Competence and Human Interaction Capabilities","funder_award_id":"645012","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2557887185.pdf","grobid_xml":"https://content.openalex.org/works/W2557887185.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W304834817","https://openalex.org/W1544894162","https://openalex.org/W1572072579","https://openalex.org/W1645816215","https://openalex.org/W1665214252","https://openalex.org/W1899504021","https://openalex.org/W2023670049","https://openalex.org/W2029538510","https://openalex.org/W2032139348","https://openalex.org/W2043181832","https://openalex.org/W2055098062","https://openalex.org/W2063601656","https://openalex.org/W2064675550","https://openalex.org/W2076948628","https://openalex.org/W2085662862","https://openalex.org/W2086653420","https://openalex.org/W2092573776","https://openalex.org/W2095705004","https://openalex.org/W2109243771","https://openalex.org/W2121486117","https://openalex.org/W2127016142","https://openalex.org/W2132947339","https://openalex.org/W2133174069","https://openalex.org/W2135724004","https://openalex.org/W2153635508","https://openalex.org/W2156503193","https://openalex.org/W2160767978","https://openalex.org/W2162753443","https://openalex.org/W2163026698","https://openalex.org/W2163685610","https://openalex.org/W2164186291","https://openalex.org/W2164450870","https://openalex.org/W2165335390","https://openalex.org/W2167917621","https://openalex.org/W2168847089","https://openalex.org/W2186400599","https://openalex.org/W2322002063","https://openalex.org/W2492121009","https://openalex.org/W2766736793","https://openalex.org/W3100344990","https://openalex.org/W4244018879","https://openalex.org/W4251591997","https://openalex.org/W6631636882","https://openalex.org/W6632751195","https://openalex.org/W6634293323","https://openalex.org/W6637242042","https://openalex.org/W6674330103","https://openalex.org/W6684209796"],"related_works":["https://openalex.org/W4205899436","https://openalex.org/W2462138927","https://openalex.org/W3111427900","https://openalex.org/W4302009627","https://openalex.org/W2165912799","https://openalex.org/W2373442452","https://openalex.org/W3160379098","https://openalex.org/W2371994528","https://openalex.org/W4253632022","https://openalex.org/W2007118529"],"abstract_inverted_index":{"Throughout":[0],"many":[1],"present":[2,52],"studies":[3],"dealing":[4],"with":[5,168],"multi-modal":[6],"fusion,":[7],"decisions":[8],"are":[9,177],"synchronously":[10],"forced":[11],"for":[12,43,59,137],"fixed":[13],"time":[14,64],"segments":[15],"across":[16],"all":[17,142],"modalities.":[18,95,143],"Varying":[19],"success":[20],"is":[21,25,32],"reported,":[22],"sometimes":[23],"performance":[24],"worse":[26],"than":[27],"unimodal":[28,161],"classification.":[29],"Our":[30],"goal":[31],"the":[33,90,98,138,181],"synergistic":[34],"exploitation":[35],"of":[36,55,66,93,97],"multimodality":[37],"whilst":[38],"implementing":[39],"a":[40,47,53,148,153],"real-time":[41],"system":[42],"affect":[44,60],"recognition":[45,61,156,182],"in":[46,155,195],"naturalistic":[48,149],"setting.":[49],"Therefore":[50],"we":[51,71,176],"categorization":[54],"possible":[56],"fusion":[57,81,174,199],"strategies":[58,82],"on":[62,147],"continuous":[63],"frames":[65,108],"complete":[67],"recording":[68],"sessions":[69],"and":[70,106,172,192],"evaluate":[72],"multiple":[73],"implementations":[74],"from":[75,160],"resulting":[76],"categories.":[77],"These":[78],"involve":[79],"conventional":[80],"as":[83,85,130],"well":[84],"novel":[86],"approaches":[87],"that":[88,114,127],"incorporate":[89],"asynchronous":[91,111,171],"nature":[92],"observed":[94,107],"Some":[96],"latter":[99],"algorithms":[100],"consider":[101],"temporal":[102,120],"alignments":[103],"between":[104],"modalities":[105],"by":[109,185],"applying":[110],"neural":[112],"networks":[113],"use":[115,123],"memory":[116],"blocks":[117],"to":[118,134,163,179,189,197],"model":[119],"dependencies.":[121],"Others":[122],"an":[124,131],"indirect":[125],"approach":[126],"introduces":[128],"events":[129],"intermediate":[132],"layer":[133],"accumulate":[135],"evidence":[136],"target":[139],"class":[140],"through":[141],"Recognition":[144],"results":[145],"gained":[146],"conversational":[150],"corpus":[151],"show":[152],"drop":[154],"accuracy":[157,184],"when":[158],"moving":[159],"classification":[162],"synchronous":[164],"multimodal":[165],"fusion.":[166],"However,":[167],"our":[169],"proposed":[170],"event-based":[173],"techniques":[175],"able":[178],"raise":[180],"system's":[183],"7.83":[186],"percent":[187,194],"compared":[188],"video":[190],"analysis":[191],"13.71":[193],"comparison":[196],"common":[198],"strategies.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}