{"id":"https://openalex.org/W4403780583","doi":"https://doi.org/10.1145/3664647.3681546","title":"FacialPulse: An Efficient RNN-based Depression Detection via Temporal Facial Landmarks","display_name":"FacialPulse: An Efficient RNN-based Depression Detection via Temporal Facial Landmarks","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403780583","doi":"https://doi.org/10.1145/3664647.3681546"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3681546","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","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/A5018831765","display_name":"Ruiqi Wang","orcid":"https://orcid.org/0009-0006-8925-3419"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruiqi Wang","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100928377","display_name":"Jinyang Huang","orcid":"https://orcid.org/0000-0001-5483-2812"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyang Huang","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436848","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0003-1124-0854"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["CFAR and IHPC, A*STAR, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"CFAR and IHPC, A*STAR, Singapore, Singapore","institution_ids":["https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047694017","display_name":"Xin Liu","orcid":"https://orcid.org/0009-0005-0669-268X"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Liu","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082442712","display_name":"Xiang Zhang","orcid":"https://orcid.org/0000-0003-0413-6135"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Zhang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100603421","display_name":"Zhi Liu","orcid":"https://orcid.org/0000-0003-0537-4522"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zhi Liu","raw_affiliation_strings":["The University of Electro-Communications, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100545038","display_name":"Peng Zhao","orcid":"https://orcid.org/0000-0002-6026-5743"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhao","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059518989","display_name":"Sigui Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sigui Chen","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088062069","display_name":"Xiao Sun","orcid":"https://orcid.org/0000-0001-9750-7032"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Sun","raw_affiliation_strings":["hefei university of technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"hefei university of technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5018831765"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":8.6324,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.98114525,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"311","last_page":"320"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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/T11448","display_name":"Face recognition and analysis","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12488","display_name":"Mental Health via Writing","score":0.9749000072479248,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7472803592681885},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6075451374053955},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5175075531005859},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.49393779039382935},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.43690356612205505},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10198354721069336}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7472803592681885},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6075451374053955},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5175075531005859},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.49393779039382935},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.43690356612205505},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10198354721069336}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3681546","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W2056403322","https://openalex.org/W2102505790","https://openalex.org/W2124449901","https://openalex.org/W2570412145","https://openalex.org/W2889847952","https://openalex.org/W2896134990","https://openalex.org/W2970055828","https://openalex.org/W2996751911","https://openalex.org/W3004404036","https://openalex.org/W3022246191","https://openalex.org/W3044580164","https://openalex.org/W3049460872","https://openalex.org/W3083323904","https://openalex.org/W3084346048","https://openalex.org/W3094644839","https://openalex.org/W3095568701","https://openalex.org/W3127525340","https://openalex.org/W3155665398","https://openalex.org/W3155791660","https://openalex.org/W3161888766","https://openalex.org/W3199653926","https://openalex.org/W3208349680","https://openalex.org/W4200350537","https://openalex.org/W4280629612","https://openalex.org/W4304080398","https://openalex.org/W4317104075","https://openalex.org/W4366377778","https://openalex.org/W4384519140","https://openalex.org/W4386076550","https://openalex.org/W4386737044","https://openalex.org/W4386921979","https://openalex.org/W4387968152","https://openalex.org/W4387968266","https://openalex.org/W4389319131","https://openalex.org/W4390740056","https://openalex.org/W4391953378","https://openalex.org/W4395069486","https://openalex.org/W4400351035","https://openalex.org/W4403242122"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Depression":[0],"is":[1,123,178],"a":[2,94,172],"prevalent":[3],"mental":[4],"health":[5],"disorder":[6],"that":[7],"significantly":[8,153],"impacts":[9],"individuals'":[10],"lives":[11],"and":[12,16,23,75,105,112,140,196,210,225],"well-being.":[13],"Early":[14],"detection":[15],"intervention":[17],"are":[18,29,237],"crucial":[19],"for":[20,40],"effective":[21],"treatment":[22],"management":[24],"of":[25,52,72,89,205],"depression.":[26],"Recently,":[27],"there":[28],"many":[30],"end-to-end":[31],"deep":[32],"learning":[33],"methods":[34,47,59],"leveraging":[35],"the":[36,49,70,81,86,109,117,133,142,155,193,203,213,226],"facial":[37,53,77,90,162,182],"expression":[38],"features":[39],"automatic":[41],"depression":[42,101,200],"detection.":[43],"However,":[44],"most":[45],"current":[46],"overlook":[48],"temporal":[50,130],"dynamics":[51],"expressions.":[54],"Although":[55],"very":[56],"recent":[57],"3DCNN":[58],"remedy":[60],"this":[61,149],"gap,":[62],"they":[63],"introduce":[64],"more":[65],"computational":[66],"cost":[67],"due":[68],"to":[69,127,145,159,164,168,180,185,223,233],"selection":[71],"CNN-based":[73],"backbones":[74],"redundant":[76],"features.":[78,131],"To":[79],"address":[80],"above":[82],"limitations,":[83],"by":[84,220,230],"considering":[85],"timing":[87],"correlation":[88],"expressions,":[91],"we":[92],"propose":[93],"novel":[95],"framework":[96],"called":[97],"FacialPulse,":[98],"which":[99],"recognizes":[100],"with":[102,212],"high":[103],"accuracy":[104,209],"speed.":[106,157],"By":[107],"harnessing":[108],"bidirectional":[110],"nature":[111],"proficiently":[113],"addressing":[114],"long-term":[115],"dependencies,":[116],"Facial":[118,173],"Motion":[119],"Modeling":[120],"Module":[121,176],"(FMMM)":[122],"designed":[124,179],"in":[125],"FacialPulse":[126,206],"fully":[128],"capture":[129],"Since":[132],"proposed":[134],"FMMM":[135],"has":[136,141],"parallel":[137],"processing":[138],"capabilities":[139],"gate":[143],"mechanism":[144],"mitigate":[146],"gradient":[147],"vanishing,":[148],"module":[150],"can":[151],"also":[152],"boost":[154],"training":[156],"Besides,":[158],"effectively":[160],"use":[161],"landmarks":[163],"replace":[165],"original":[166],"images":[167],"decrease":[169],"information":[170],"redundancy,":[171],"Landmark":[174],"Calibration":[175],"(FLCM)":[177],"eliminate":[181],"landmark":[183],"errors":[184],"further":[186],"improve":[187],"recognition":[188,208,227],"accuracy.":[189],"Extensive":[190],"experiments":[191],"on":[192,207],"AVEC2014":[194],"dataset":[195,198],"MMDA":[197],"(a":[199],"dataset)":[201],"demonstrate":[202],"superiority":[204],"speed,":[211],"average":[214],"MAE":[215],"(Mean":[216],"Absolute":[217],"Error)":[218],"decreased":[219],"21%":[221],"compared":[222,232],"baselines,":[224],"speed":[228],"increased":[229],"100%":[231],"state-of-the-art":[234],"methods.":[235],"Codes":[236],"released":[238],"at":[239],"https://github.com/volatileee/FacialPulse.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}