{"id":"https://openalex.org/W2549153950","doi":"https://doi.org/10.1145/2910674.2935856","title":"Fusing active orientation models and mid-term audio features for automatic depression estimation","display_name":"Fusing active orientation models and mid-term audio features for automatic depression estimation","publication_year":2016,"publication_date":"2016-06-29","ids":{"openalex":"https://openalex.org/W2549153950","doi":"https://doi.org/10.1145/2910674.2935856","mag":"2549153950"},"language":"en","primary_location":{"id":"doi:10.1145/2910674.2935856","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2910674.2935856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments","raw_type":"proceedings-article"},"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/A5023796920","display_name":"Christos Smailis","orcid":null},"institutions":[{"id":"https://openalex.org/I203474044","display_name":"National Centre of Scientific Research \"Demokritos\"","ror":"https://ror.org/038jp4m40","country_code":"GR","type":"facility","lineage":["https://openalex.org/I203474044"]},{"id":"https://openalex.org/I4387152169","display_name":"Institute of Informatics & Telecommunications","ror":"https://ror.org/0396t6k89","country_code":null,"type":"facility","lineage":["https://openalex.org/I203474044","https://openalex.org/I4387152169"]},{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["GR","US"],"is_corresponding":false,"raw_author_name":"Christos Smailis","raw_affiliation_strings":["Computational Biomedicine Lab, Department of Computer Science, University of Houston, Houston, TX and Computational Intelligence Lab, Institute of Informatics and Telecommunications, NCSR Demokritos, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Biomedicine Lab, Department of Computer Science, University of Houston, Houston, TX and Computational Intelligence Lab, Institute of Informatics and Telecommunications, NCSR Demokritos, Athens, Greece","institution_ids":["https://openalex.org/I203474044","https://openalex.org/I4387152169","https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051145236","display_name":"Nikolaos Sarafianos","orcid":"https://orcid.org/0000-0002-6350-3890"},"institutions":[{"id":"https://openalex.org/I203474044","display_name":"National Centre of Scientific Research \"Demokritos\"","ror":"https://ror.org/038jp4m40","country_code":"GR","type":"facility","lineage":["https://openalex.org/I203474044"]},{"id":"https://openalex.org/I4387152169","display_name":"Institute of Informatics & Telecommunications","ror":"https://ror.org/0396t6k89","country_code":null,"type":"facility","lineage":["https://openalex.org/I203474044","https://openalex.org/I4387152169"]},{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["GR","US"],"is_corresponding":false,"raw_author_name":"Nikolaos Sarafianos","raw_affiliation_strings":["Computational Biomedicine Lab, Department of Computer Science, University of Houston, Houston, TX and Computational Intelligence Lab, Institute of Informatics and Telecommunications, NCSR Demokritos, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Biomedicine Lab, Department of Computer Science, University of Houston, Houston, TX and Computational Intelligence Lab, Institute of Informatics and Telecommunications, NCSR Demokritos, Athens, Greece","institution_ids":["https://openalex.org/I203474044","https://openalex.org/I4387152169","https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069190127","display_name":"\u0398\u03b5\u03cc\u03b4\u03c9\u03c1\u03bf\u03c2 \u0393\u03b9\u03b1\u03bd\u03bd\u03b1\u03ba\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf\u03c2","orcid":"https://orcid.org/0000-0003-1634-824X"},"institutions":[{"id":"https://openalex.org/I203474044","display_name":"National Centre of Scientific Research \"Demokritos\"","ror":"https://ror.org/038jp4m40","country_code":"GR","type":"facility","lineage":["https://openalex.org/I203474044"]},{"id":"https://openalex.org/I4387152169","display_name":"Institute of Informatics & Telecommunications","ror":"https://ror.org/0396t6k89","country_code":null,"type":"facility","lineage":["https://openalex.org/I203474044","https://openalex.org/I4387152169"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Theodoros Giannakopoulos","raw_affiliation_strings":["Computational Intelligence Lab, Institute of Informatics and Telecommunications, NCSR Demokritos, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Intelligence Lab, Institute of Informatics and Telecommunications, NCSR Demokritos, Athens, Greece","institution_ids":["https://openalex.org/I203474044","https://openalex.org/I4387152169"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109045430","display_name":"Stavros Perantonis","orcid":null},"institutions":[{"id":"https://openalex.org/I203474044","display_name":"National Centre of Scientific Research \"Demokritos\"","ror":"https://ror.org/038jp4m40","country_code":"GR","type":"facility","lineage":["https://openalex.org/I203474044"]},{"id":"https://openalex.org/I4387152169","display_name":"Institute of Informatics & Telecommunications","ror":"https://ror.org/0396t6k89","country_code":null,"type":"facility","lineage":["https://openalex.org/I203474044","https://openalex.org/I4387152169"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Stavros Perantonis","raw_affiliation_strings":["Computational Intelligence Lab, Institute of Informatics and Telecommunications, NCSR Demokritos, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Intelligence Lab, Institute of Informatics and Telecommunications, NCSR Demokritos, Athens, Greece","institution_ids":["https://openalex.org/I203474044","https://openalex.org/I4387152169"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7981,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76897196,"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":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9550999999046326,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9509999752044678,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7198379039764404},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7146706581115723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.691036581993103},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.6859667301177979},{"id":"https://openalex.org/keywords/audio-visual","display_name":"Audio visual","score":0.6740840077400208},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6026230454444885},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.506492018699646},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.49958276748657227},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.498016357421875},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.49278882145881653},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43097835779190063},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4262073040008545},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40403684973716736},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33047395944595337},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.15936711430549622},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10583758354187012},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09979459643363953}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7198379039764404},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7146706581115723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.691036581993103},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6859667301177979},{"id":"https://openalex.org/C3017588708","wikidata":"https://www.wikidata.org/wiki/Q758901","display_name":"Audio visual","level":2,"score":0.6740840077400208},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6026230454444885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.506492018699646},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.49958276748657227},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.498016357421875},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.49278882145881653},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43097835779190063},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4262073040008545},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40403684973716736},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33047395944595337},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.15936711430549622},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10583758354187012},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09979459643363953},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2910674.2935856","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2910674.2935856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1963599662","https://openalex.org/W1999042468","https://openalex.org/W2009486233","https://openalex.org/W2023687307","https://openalex.org/W2055134133","https://openalex.org/W2056403322","https://openalex.org/W2058158720","https://openalex.org/W2060779380","https://openalex.org/W2084242110","https://openalex.org/W2095540482","https://openalex.org/W2124449901","https://openalex.org/W2147259701","https://openalex.org/W2163928333"],"related_works":["https://openalex.org/W2271369634","https://openalex.org/W2185469136","https://openalex.org/W3147472394","https://openalex.org/W2047100085","https://openalex.org/W2350550760","https://openalex.org/W578794879","https://openalex.org/W2625296515","https://openalex.org/W2011264131","https://openalex.org/W3137890128","https://openalex.org/W1984634519"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"predict":[4,75],"a":[5,41],"human's":[6],"depression":[7,77],"level":[8],"in":[9,45],"the":[10,29,46,51,56,76,82,102,105,119],"BDI-II":[11],"scale,":[12],"using":[13],"facial":[14],"and":[15,22,31,35,40,61,67],"voice":[16,24],"features.":[17],"Active":[18],"orientation":[19],"models":[20,71],"(AOM)":[21],"several":[23],"features":[25,37,88],"were":[26,38,65,72],"extracted":[27],"from":[28,50],"video":[30,122],"audio":[32,87],"modalities.":[33,96],"Long-term":[34],"mid-term":[36],"computed":[39],"fusion":[42,83],"is":[43],"performed":[44],"feature":[47],"space.":[48],"Videos":[49],"Depression":[52],"Recognition":[53],"Sub-Challenge":[54],"of":[55,84,104],"2014":[57,121],"Audio-Visual":[58],"Emotion":[59],"Challenge":[60],"Workshop":[62],"(AVEC":[63],"2014)":[64],"used":[66],"support":[68],"vector":[69],"regression":[70,99],"trained":[73],"to":[74,90,94,118],"level.":[78],"We":[79],"demonstrated":[80],"that":[81],"AOMs":[85],"with":[86],"leads":[89],"better":[91],"performance":[92],"compared":[93,117],"individual":[95],"The":[97],"obtained":[98],"results":[100],"indicate":[101],"robustness":[103],"proposed":[106],"technique,":[107],"under":[108],"different":[109],"settings,":[110],"as":[111,113],"well":[112],"an":[114],"RMSE":[115],"improvement":[116],"AVEC":[120],"baseline.":[123]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}