{"id":"https://openalex.org/W4416874961","doi":"https://doi.org/10.1109/ispa66905.2025.11259480","title":"Comparing OpenFace and Deep Learning Models for Deception Detection in Video Calls","display_name":"Comparing OpenFace and Deep Learning Models for Deception Detection in Video Calls","publication_year":2025,"publication_date":"2025-10-29","ids":{"openalex":"https://openalex.org/W4416874961","doi":"https://doi.org/10.1109/ispa66905.2025.11259480"},"language":null,"primary_location":{"id":"doi:10.1109/ispa66905.2025.11259480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa66905.2025.11259480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 14th International Symposium on Image and Signal Processing and Analysis (ISPA)","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/A5024149066","display_name":"Laslo Dinges","orcid":"https://orcid.org/0000-0003-0364-8067"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Laslo Dinges","raw_affiliation_strings":["Otto-von-Guericke University,Neuro-Information Technology group,Magdeburg,Germany"],"raw_orcid":"https://orcid.org/0000-0003-0364-8067","affiliations":[{"raw_affiliation_string":"Otto-von-Guericke University,Neuro-Information Technology group,Magdeburg,Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039636002","display_name":"Marc-Andr\u00e9 Fiedler","orcid":"https://orcid.org/0000-0002-5606-4033"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marc-Andr\u00e9 Fiedler","raw_affiliation_strings":["Otto-von-Guericke University,Neuro-Information Technology group,Magdeburg,Germany"],"raw_orcid":"https://orcid.org/0000-0002-5606-4033","affiliations":[{"raw_affiliation_string":"Otto-von-Guericke University,Neuro-Information Technology group,Magdeburg,Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033366160","display_name":"Ayoub Al-Hamadi","orcid":"https://orcid.org/0000-0002-3632-2402"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ayoub Al-Hamadi","raw_affiliation_strings":["Otto-von-Guericke University,Neuro-Information Technology group,Magdeburg,Germany"],"raw_orcid":"https://orcid.org/0000-0002-3632-2402","affiliations":[{"raw_affiliation_string":"Otto-von-Guericke University,Neuro-Information Technology group,Magdeburg,Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058553482","display_name":"Dmitri Bershadskyy","orcid":"https://orcid.org/0000-0002-9856-1548"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dmitri Bershadskyy","raw_affiliation_strings":["Otto-von-Guericke University,Faculty of Economics and Management,Magdeburg,Germany"],"raw_orcid":"https://orcid.org/0000-0002-9856-1548","affiliations":[{"raw_affiliation_string":"Otto-von-Guericke University,Faculty of Economics and Management,Magdeburg,Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074234074","display_name":"Joachim Weimann","orcid":"https://orcid.org/0000-0002-4500-8247"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Joachim Weimann","raw_affiliation_strings":["Otto-von-Guericke University,Faculty of Economics and Management,Magdeburg,Germany"],"raw_orcid":"https://orcid.org/0000-0002-4500-8247","affiliations":[{"raw_affiliation_string":"Otto-von-Guericke University,Faculty of Economics and Management,Magdeburg,Germany","institution_ids":["https://openalex.org/I95793202"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I95793202"],"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":"231","last_page":"236"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12268","display_name":"Deception detection and forensic psychology","score":0.9093000292778015,"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/T12268","display_name":"Deception detection and forensic psychology","score":0.9093000292778015,"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":0.026599999517202377,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.010300000198185444,"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/deception","display_name":"Deception","score":0.8424000144004822},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5726000070571899},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5523999929428101},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5460000038146973},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5437999963760376},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4659000039100647},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.44040000438690186},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.42910000681877136}],"concepts":[{"id":"https://openalex.org/C2779267917","wikidata":"https://www.wikidata.org/wiki/Q170028","display_name":"Deception","level":2,"score":0.8424000144004822},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7591000199317932},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6851000189781189},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5726000070571899},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5523999929428101},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5460000038146973},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5437999963760376},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4659000039100647},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.461899995803833},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.44040000438690186},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.42910000681877136},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36550000309944153},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.325300008058548},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.29840001463890076},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.2946000099182129},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2854999899864197},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.27079999446868896},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.26899999380111694}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispa66905.2025.11259480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa66905.2025.11259480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 14th International Symposium on Image and Signal Processing and Analysis (ISPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2000436309","https://openalex.org/W2163833659","https://openalex.org/W2436394355","https://openalex.org/W2745497104","https://openalex.org/W2953843303","https://openalex.org/W2968212823","https://openalex.org/W2996882407","https://openalex.org/W3036719936","https://openalex.org/W3046586495","https://openalex.org/W3124325118","https://openalex.org/W3137274787","https://openalex.org/W3158228990","https://openalex.org/W3209224819","https://openalex.org/W4308045577","https://openalex.org/W4309091298","https://openalex.org/W4319655871","https://openalex.org/W4413427294"],"related_works":[],"abstract_inverted_index":{"In":[0],"remote":[1],"deception":[2,114],"detection":[3],"scenarios,":[4],"where":[5,73],"data":[6,126],"are":[7,10,19],"scarce,":[8],"modalities":[9],"restricted":[11],"to":[12,77],"audio":[13],"and":[14,16,21,33,49],"video,":[15],"facial":[17],"cues":[18],"subtle":[20],"highly":[22],"individual,":[23],"modeling":[24],"expressions":[25],"via":[26],"Action":[27],"Units":[28],"(AUs)":[29],"offers":[30],"a":[31,65,70,110],"focused":[32],"interpretable":[34],"approach.":[35],"This":[36],"paper":[37],"investigates":[38],"why":[39],"many":[40],"methods":[41],"still":[42],"rely":[43],"on":[44,102,122],"OpenFace":[45,101],"for":[46,113],"AU":[47,55,105],"prediction":[48,56],"compares":[50],"the":[51,89,103,116,123,128,144],"performance":[52],"of":[53,127],"CNN-based":[54,98],"across":[57],"different":[58],"scenarios.":[59],"For":[60,84],"this":[61],"study,":[62],"we":[63,86],"acquired":[64],"new":[66],"dataset":[67],"collected":[68],"in":[69,143],"controlled":[71],"setting":[72],"participants":[74],"were":[75],"instructed":[76],"deceive":[78],"during":[79],"mock":[80,146],"online":[81],"sales":[82,147],"meetings.":[83],"comparison,":[85],"also":[87,119,135],"use":[88],"Real-life":[90,129],"Trial":[91],"dataset.":[92,106],"We":[93],"first":[94],"demonstrate":[95],"that":[96,133],"our":[97],"approach":[99,118],"outperforms":[100],"EmotioNet":[104],"When":[107],"used":[108],"as":[109],"feature":[111],"set":[112],"detection,":[115],"CNN":[117],"performs":[120,141],"better":[121,142],"challenging,":[124],"in-the-wild":[125],"Trial.":[130],"However,":[131],"OpenFace,":[132],"covers":[134],"AUs":[136],"not":[137],"included":[138],"within":[139],"EmotioNet,":[140],"semi-controlled":[145],"meeting":[148],"scenario.":[149]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-12-01T00:00:00"}
