{"id":"https://openalex.org/W4366517549","doi":"https://doi.org/10.1145/3582099.3582144","title":"Multi-Modal Depression Detection Based on High-Order Emotional Features","display_name":"Multi-Modal Depression Detection Based on High-Order Emotional Features","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4366517549","doi":"https://doi.org/10.1145/3582099.3582144"},"language":"en","primary_location":{"id":"doi:10.1145/3582099.3582144","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3582099.3582144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th Artificial Intelligence and Cloud Computing Conference","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/A5084182221","display_name":"Yuran Ru","orcid":"https://orcid.org/0000-0002-2850-971X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuran Ru","raw_affiliation_strings":["Software College, Northeastern University, China"],"raw_orcid":"https://orcid.org/0000-0002-2850-971X","affiliations":[{"raw_affiliation_string":"Software College, Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032700133","display_name":"Ning Geng","orcid":"https://orcid.org/0000-0001-6315-3205"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Geng","raw_affiliation_strings":["Software College, Northeastern University, China"],"raw_orcid":"https://orcid.org/0000-0001-6315-3205","affiliations":[{"raw_affiliation_string":"Software College, Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057978919","display_name":"Li Li","orcid":"https://orcid.org/0000-0002-3635-0120"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Li","raw_affiliation_strings":["Software College, Northeastern University, China"],"raw_orcid":"https://orcid.org/0000-0002-3635-0120","affiliations":[{"raw_affiliation_string":"Software College, Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049722026","display_name":"Hui Wang","orcid":"https://orcid.org/0000-0002-2524-8286"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Wang","raw_affiliation_strings":["Software College, Northeastern University, China"],"raw_orcid":"https://orcid.org/0000-0002-2524-8286","affiliations":[{"raw_affiliation_string":"Software College, Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080829478","display_name":"Yongxiang Zheng","orcid":"https://orcid.org/0000-0002-2434-0910"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongxiang Zheng","raw_affiliation_strings":["Software College, Northeastern University, China"],"raw_orcid":"https://orcid.org/0000-0002-2434-0910","affiliations":[{"raw_affiliation_string":"Software College, Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009338378","display_name":"Zhenhua Tan","orcid":"https://orcid.org/0000-0002-9870-8925"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhua Tan","raw_affiliation_strings":["Software College, Northeastern University, China"],"raw_orcid":"https://orcid.org/0000-0002-9870-8925","affiliations":[{"raw_affiliation_string":"Software College, Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"158","last_page":"164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T12488","display_name":"Mental Health via Writing","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T10667","display_name":"Emotion and Mood Recognition","score":0.9957000017166138,"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/T11519","display_name":"Digital Mental Health Interventions","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied 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/modal","display_name":"Modal","score":0.7133079767227173},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6058787107467651},{"id":"https://openalex.org/keywords/depression","display_name":"Depression (economics)","score":0.5708844065666199},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.559540867805481},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5237850546836853},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48671963810920715},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48076197504997253},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46034103631973267},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.41987767815589905},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35281801223754883},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10050415992736816}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.7133079767227173},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6058787107467651},{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.5708844065666199},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.559540867805481},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5237850546836853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48671963810920715},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48076197504997253},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46034103631973267},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.41987767815589905},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35281801223754883},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10050415992736816},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3582099.3582144","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3582099.3582144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th Artificial Intelligence and Cloud Computing Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2095176743","https://openalex.org/W2251383488","https://openalex.org/W2346454595","https://openalex.org/W2395639500","https://openalex.org/W2530421149","https://openalex.org/W2531271152","https://openalex.org/W2767030624","https://openalex.org/W2771976988","https://openalex.org/W2787145221","https://openalex.org/W2889056793","https://openalex.org/W2900794986","https://openalex.org/W3045969489","https://openalex.org/W3098431772"],"related_works":["https://openalex.org/W2185469136","https://openalex.org/W4306353150","https://openalex.org/W8219677","https://openalex.org/W2168054807","https://openalex.org/W2058990474","https://openalex.org/W2026860389","https://openalex.org/W2043363698","https://openalex.org/W4301143707","https://openalex.org/W2952745240","https://openalex.org/W2941608206"],"abstract_inverted_index":{"The":[0,33,109,148,163],"diagnosis":[1,200],"of":[2,35,37,94,100,111,120,137,173],"depression":[3,18,50,68,160],"has":[4,153,192],"always":[5],"been":[6],"a":[7,42,48],"difficulty":[8],"in":[9,150,158,196],"its":[10],"treatment.":[11],"At":[12],"present,":[13,170],"the":[14,71,76,84,92,98,106,118,125,130,134,155,159,171],"research":[15],"on":[16,54,113],"automatic":[17],"detection":[19,51,69,161],"mostly":[20],"directly":[21],"uses":[22],"low-order":[23],"features":[24,39,82,122,142],"such":[25],"as":[26,31,79],"video,":[27],"audio":[28],"and":[29,67,74,103,189,201,203],"text":[30],"input.":[32],"lack":[34],"guidance":[36],"high-order":[38,55,80,126],"may":[40],"be":[41],"potential":[43],"problem.":[44],"This":[45,89],"paper":[46,152],"proposed":[47],"multi-modal":[49,87],"method":[52,149],"based":[53],"emotional":[56,77,121,141],"features.":[57],"A":[58],"two-stage":[59],"network":[60],"is":[61,143,186],"designed":[62],"to":[63],"realize":[64],"emotion":[65],"recognition":[66],"at":[70,169],"same":[72],"time,":[73],"input":[75],"results":[78,110],"semantic":[81],"into":[83],"improved":[85,145],"TBJE-E":[86,138],"network.":[88],"process":[90],"guided":[91],"learning":[93],"other":[95,204],"modalities":[96],"with":[97,129,140],"help":[99],"co-attention":[101],"module,":[102],"finally":[104],"gave":[105],"prediction":[107],"results.":[108],"experiments":[112],"DAIC-WOZ":[114],"dataset":[115],"show":[116,167],"that":[117,168],"addition":[119],"effectively":[123],"complements":[124],"semantics.":[127],"Compared":[128],"original":[131],"TBJE":[132],"model,":[133],"F1":[135],"performance":[136],"model":[139],"relatively":[144],"by":[146,180],"6.3%.":[147],"this":[151,181,190],"reached":[154],"SOTA":[156],"level":[157],"task.":[162],"experimental":[164],"data":[165],"also":[166],"risk":[172],"individual":[174],"internal":[175],"psychological":[176,199],"privacy":[177],"being":[178],"stolen":[179],"technology":[182,191],"without":[183],"their":[184],"knowledge":[185],"very":[187],"low,":[188],"some":[193],"application":[194],"value":[195],"criminal":[197],"investigation,":[198],"treatment":[202],"professional":[205],"fields.":[206]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}