{"id":"https://openalex.org/W4367550006","doi":"https://doi.org/10.1142/s0218126623503115","title":"Depression Detection with Dynamic and Static Visual Features","display_name":"Depression Detection with Dynamic and Static Visual Features","publication_year":2023,"publication_date":"2023-04-30","ids":{"openalex":"https://openalex.org/W4367550006","doi":"https://doi.org/10.1142/s0218126623503115"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126623503115","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126623503115","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-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/A5064316179","display_name":"Yuhao Wang","orcid":"https://orcid.org/0000-0003-0828-1874"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuhao Wang","raw_affiliation_strings":["School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu 730100, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-0828-1874","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu 730100, P. R. China","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100711426","display_name":"Zepeng Li","orcid":"https://orcid.org/0000-0003-0843-8536"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zepeng Li","raw_affiliation_strings":["School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu 730100, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu 730100, P. R. China","institution_ids":["https://openalex.org/I76214153"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5064316179","https://openalex.org/A5100711426"],"corresponding_institution_ids":["https://openalex.org/I76214153"],"apc_list":null,"apc_paid":null,"fwci":1.5239,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82291466,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"32","issue":"18","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9904000163078308,"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":0.9904000163078308,"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/depression","display_name":"Depression (economics)","score":0.6793787479400635},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.6697876453399658},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6468676924705505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.609527587890625},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5920374393463135},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5782686471939087},{"id":"https://openalex.org/keywords/mood","display_name":"Mood","score":0.5084749460220337},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4967556595802307},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4910314083099365},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.476066529750824},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.44484877586364746},{"id":"https://openalex.org/keywords/bag-of-words-model","display_name":"Bag-of-words model","score":0.4327927529811859},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.4151945114135742},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38746827840805054},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3605451285839081},{"id":"https://openalex.org/keywords/clinical-psychology","display_name":"Clinical psychology","score":0.158390611410141},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08328953385353088}],"concepts":[{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.6793787479400635},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.6697876453399658},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6468676924705505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.609527587890625},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5920374393463135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5782686471939087},{"id":"https://openalex.org/C2780733359","wikidata":"https://www.wikidata.org/wiki/Q331769","display_name":"Mood","level":2,"score":0.5084749460220337},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4967556595802307},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4910314083099365},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.476066529750824},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.44484877586364746},{"id":"https://openalex.org/C13672336","wikidata":"https://www.wikidata.org/wiki/Q3460803","display_name":"Bag-of-words model","level":2,"score":0.4327927529811859},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.4151945114135742},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38746827840805054},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3605451285839081},{"id":"https://openalex.org/C70410870","wikidata":"https://www.wikidata.org/wiki/Q199906","display_name":"Clinical psychology","level":1,"score":0.158390611410141},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08328953385353088},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126623503115","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126623503115","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1595717062","https://openalex.org/W1678356000","https://openalex.org/W1777859530","https://openalex.org/W1966385142","https://openalex.org/W1991060033","https://openalex.org/W2034327827","https://openalex.org/W2039051707","https://openalex.org/W2056403322","https://openalex.org/W2102505790","https://openalex.org/W2118087936","https://openalex.org/W2124449901","https://openalex.org/W2139916508","https://openalex.org/W2147277317","https://openalex.org/W2154683974","https://openalex.org/W2161969291","https://openalex.org/W2570412145","https://openalex.org/W2800833042","https://openalex.org/W2889847952","https://openalex.org/W2896134990","https://openalex.org/W2957148965","https://openalex.org/W3003850414","https://openalex.org/W3004404036","https://openalex.org/W3094259155","https://openalex.org/W3094644839","https://openalex.org/W3155665398","https://openalex.org/W3155791660","https://openalex.org/W4221021599","https://openalex.org/W4239737058","https://openalex.org/W4249142012","https://openalex.org/W4280629612","https://openalex.org/W4285188301","https://openalex.org/W4285290020","https://openalex.org/W4292417679"],"related_works":["https://openalex.org/W4224879220","https://openalex.org/W2046724945","https://openalex.org/W3211626993","https://openalex.org/W2999130902","https://openalex.org/W4281681299","https://openalex.org/W2507467930","https://openalex.org/W2904398182","https://openalex.org/W2347245106","https://openalex.org/W2557833330","https://openalex.org/W4235736048"],"abstract_inverted_index":{"Depression":[0],"is":[1,34,52,118],"a":[2,10,15,44,108],"serious":[3],"mood":[4],"disorder":[5],"that":[6,149,171],"can":[7,22,158],"significantly":[8],"impact":[9],"person\u2019s":[11],"ability":[12],"to":[13,25,106,120],"live":[14],"normal":[16],"life.":[17],"In":[18],"severe":[19],"cases,":[20],"it":[21],"even":[23],"lead":[24],"suicidal":[26],"thoughts.":[27],"As":[28],"such,":[29],"accurate":[30],"detection":[31],"of":[32,54,68,74,142,164],"depression":[33,49,122,131,178],"crucial":[35],"for":[36,48,111],"effective":[37],"management":[38],"and":[39,72,90,101,168],"treatment.":[40],"This":[41],"paper":[42],"presents":[43],"facial":[45,162],"expression-based":[46],"approach":[47],"detection,":[50],"which":[51],"composed":[53],"two":[55],"steps.":[56],"First,":[57],"static":[58,100],"features":[59,79,103],"are":[60,80,104],"extracted":[61,153],"using":[62],"Local":[63],"Binary":[64],"Pattern":[65],"(LBP),":[66],"Histogram":[67],"Oriented":[69],"Gradients":[70],"(HOG),":[71],"Bag":[73],"Words":[75],"(BOW).":[76],"Second,":[77],"dynamic":[78,102],"obtained":[81],"by":[82,96,154],"applying":[83],"LBPs":[84],"on":[85,127],"Three":[86],"Orthogonal":[87],"Planes":[88],"(LBP-TOP)":[89],"Eight":[91],"Vertices":[92],"LBP":[93],"(EVLBP)":[94],"frame":[95],"frame.":[97],"Next,":[98],"the":[99,128,140,143,150,155,161],"combined":[105],"create":[107],"1377-dimensional":[109],"vector":[110],"each":[112],"video.":[113],"Finally,":[114],"Gradient":[115],"Boosting":[116],"Regression":[117],"used":[119],"predict":[121],"scores.":[123],"The":[124],"experimental":[125],"results":[126,147],"AVEC":[129],"2014":[130],"dataset":[132],"([Formula:":[133],"see":[134,137],"text],":[135],"[Formula:":[136],"text])":[138],"demonstrate":[139],"effectiveness":[141],"proposed":[144,156],"method.":[145],"These":[146],"indicate":[148],"low-dimensional":[151],"vectors":[152],"method":[157],"effectively":[159],"capture":[160],"motion":[163],"individuals":[165],"with":[166],"depression,":[167],"also":[169],"suggest":[170],"hand-crafted":[172],"methods":[173],"could":[174],"have":[175],"potential":[176],"in":[177],"detection.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}