{"id":"https://openalex.org/W4401067251","doi":"https://doi.org/10.1145/3670105.3670110","title":"Recognition of mild-to-moderate depression based on facial expression and speech","display_name":"Recognition of mild-to-moderate depression based on facial expression and speech","publication_year":2024,"publication_date":"2024-05-24","ids":{"openalex":"https://openalex.org/W4401067251","doi":"https://doi.org/10.1145/3670105.3670110"},"language":"en","primary_location":{"id":"doi:10.1145/3670105.3670110","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3670105.3670110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Conference on Computing, Networks and Internet of Things","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/A5020328415","display_name":"Jinlong Li","orcid":"https://orcid.org/0009-0005-8179-5822"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinlong Li","raw_affiliation_strings":["College of Electronic Information Engineering, Lanzhou Institute of Technology, China"],"raw_orcid":"https://orcid.org/0009-0005-8179-5822","affiliations":[{"raw_affiliation_string":"College of Electronic Information Engineering, Lanzhou Institute of Technology, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101106262","display_name":"Li Ying","orcid":"https://orcid.org/0009-0009-1718-1390"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ying Li","raw_affiliation_strings":["College of Electronic Information Engineering, Lanzhou Institute of Technology, China"],"raw_orcid":"https://orcid.org/0009-0009-1718-1390","affiliations":[{"raw_affiliation_string":"College of Electronic Information Engineering, Lanzhou Institute of Technology, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4603,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.81082224,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"26","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9968000054359436,"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":0.9968000054359436,"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/T13283","display_name":"Mental Health Research Topics","score":0.9693999886512756,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9491000175476074,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.6899604201316833},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6805357933044434},{"id":"https://openalex.org/keywords/depression","display_name":"Depression (economics)","score":0.5619745850563049},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5364955067634583},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.4856661558151245},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.4628967344760895},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.35681119561195374},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33238255977630615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32727742195129395},{"id":"https://openalex.org/keywords/audiology","display_name":"Audiology","score":0.3228597044944763},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.3003033399581909},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.2678900957107544},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19340091943740845},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.05795830488204956}],"concepts":[{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.6899604201316833},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6805357933044434},{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.5619745850563049},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5364955067634583},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.4856661558151245},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.4628967344760895},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.35681119561195374},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33238255977630615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32727742195129395},{"id":"https://openalex.org/C548259974","wikidata":"https://www.wikidata.org/wiki/Q569965","display_name":"Audiology","level":1,"score":0.3228597044944763},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.3003033399581909},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2678900957107544},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19340091943740845},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.05795830488204956},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3670105.3670110","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3670105.3670110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Conference on Computing, Networks and Internet of Things","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1990043338","https://openalex.org/W2065003420","https://openalex.org/W2513975684","https://openalex.org/W2736814566","https://openalex.org/W2899027652","https://openalex.org/W3003850414","https://openalex.org/W3094259155","https://openalex.org/W3160705766","https://openalex.org/W3177109830","https://openalex.org/W4242583637"],"related_works":["https://openalex.org/W2642127892","https://openalex.org/W4205986151","https://openalex.org/W2355913164","https://openalex.org/W2162992774","https://openalex.org/W1153638794","https://openalex.org/W2168968280","https://openalex.org/W2116055069","https://openalex.org/W2901126000","https://openalex.org/W4323520705","https://openalex.org/W2356663679"],"abstract_inverted_index":{"The":[0,137],"behavioral":[1],"symptoms":[2],"of":[3,112,146],"patients":[4,44],"with":[5],"mild":[6],"to":[7,20,34,55,70],"moderate":[8],"depression":[9],"(MMD)":[10],"are":[11],"usually":[12],"not":[13],"obvious":[14],"enough,":[15],"which":[16],"poses":[17],"a":[18,66,72,90],"challenge":[19],"MMD":[21,43,126,143],"recognition":[22,127,144],"research.":[23],"A":[24],"three-level":[25],"feature":[26,92,123],"construction":[27],"strategy":[28],"for":[29],"facial":[30,40,57,115],"expression":[31,116],"was":[32,94,128],"proposed":[33],"fully":[35],"characterize":[36],"the":[37,85,98,122,142,147],"differences":[38],"in":[39],"activity":[41,58],"between":[42],"and":[45,109,117,125,149,155],"healthy":[46],"control":[47],"groups":[48,151],"(HCs).":[49],"Level":[50,60,77],"1:":[51],"Construct":[52],"geometric":[53,63],"features":[54,64],"describe":[56],"preliminarily.":[59],"2:":[61],"Input":[62],"into":[65],"denoising":[67],"autoencoder":[68],"(DAE)":[69],"generate":[71],"new":[73],"hidden":[74,86],"layer":[75,87],"representation.":[76],"3:":[78],"Gaussian":[79],"mixture":[80],"model":[81],"(GMM)":[82],"further":[83],"characterizes":[84],"features.":[88],"Meanwhile,":[89],"speech":[91,118],"set":[93],"constructed":[95],"based":[96,131],"on":[97,132],"fundamental":[99],"frequency":[100,105],"(F0),":[101],"pitch":[102],"intensity,":[103],"mel":[104],"cepstral":[106],"coefficients":[107],"(MFCCs),":[108],"syllable":[110],"pauses":[111],"speech.":[113],"Finally,":[114],"were":[119],"fused":[120],"at":[121],"layer,":[124],"carried":[129],"out":[130],"four":[133],"classic":[134],"classification":[135],"algorithms.":[136],"experimental":[138],"results":[139],"show":[140],"that":[141],"accuracy":[145],"male":[148],"female":[150],"can":[152],"reach":[153],"70.3%":[154],"68.3%,":[156],"respectively.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}