{"id":"https://openalex.org/W3115002575","doi":"https://doi.org/10.1109/vcip49819.2020.9301883","title":"An Empirical Study of Emotion Recognition from Thermal Video Based on Deep Neural Networks","display_name":"An Empirical Study of Emotion Recognition from Thermal Video Based on Deep Neural Networks","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3115002575","doi":"https://doi.org/10.1109/vcip49819.2020.9301883","mag":"3115002575"},"language":"en","primary_location":{"id":"doi:10.1109/vcip49819.2020.9301883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip49819.2020.9301883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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/A5053293297","display_name":"Herman Prawiro","orcid":"https://orcid.org/0009-0005-7823-7176"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Herman Prawiro","raw_affiliation_strings":["National Tsing Hua University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Tsing Hua University, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063016153","display_name":"Tse\u2013Yu Pan","orcid":"https://orcid.org/0000-0001-8570-1575"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tse-Yu Pan","raw_affiliation_strings":["National Tsing Hua University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Tsing Hua University, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029298215","display_name":"Min\u2010Chun Hu","orcid":"https://orcid.org/0000-0003-1917-2155"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Min-Chun Hu","raw_affiliation_strings":["National Tsing Hua University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Tsing Hua University, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1958,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.52286944,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"407","last_page":"410"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991000294685364,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9983999729156494,"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/computer-science","display_name":"Computer science","score":0.8062377572059631},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7003406882286072},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.660706639289856},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6419646143913269},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6366760730743408},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6153817772865295},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5721368789672852},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5284944176673889},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.47336599230766296},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36761099100112915},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35871559381484985}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8062377572059631},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7003406882286072},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.660706639289856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6419646143913269},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6366760730743408},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6153817772865295},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5721368789672852},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5284944176673889},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.47336599230766296},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36761099100112915},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35871559381484985},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip49819.2020.9301883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip49819.2020.9301883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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":29,"referenced_works":["https://openalex.org/W1503473358","https://openalex.org/W1522734439","https://openalex.org/W1923404803","https://openalex.org/W1983364832","https://openalex.org/W2016053056","https://openalex.org/W2027507573","https://openalex.org/W2042310585","https://openalex.org/W2076099766","https://openalex.org/W2101244784","https://openalex.org/W2106947945","https://openalex.org/W2135937261","https://openalex.org/W2156303437","https://openalex.org/W2162244427","https://openalex.org/W2194775991","https://openalex.org/W2342662179","https://openalex.org/W2345305417","https://openalex.org/W2470957930","https://openalex.org/W2507009361","https://openalex.org/W2745519816","https://openalex.org/W2753069697","https://openalex.org/W2912483755","https://openalex.org/W2927262723","https://openalex.org/W2945731770","https://openalex.org/W2984609752","https://openalex.org/W2990152177","https://openalex.org/W6609194641","https://openalex.org/W6682864246","https://openalex.org/W6724944384","https://openalex.org/W6742667445"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W2584926856","https://openalex.org/W2075935902","https://openalex.org/W2014713986"],"abstract_inverted_index":{"Emotion":[0],"recognition":[1,23,69,116,137],"is":[2],"a":[3],"crucial":[4],"problem":[5],"in":[6,84,138],"affective":[7,41],"computing.":[8],"Most":[9],"of":[10,30,59,78,99],"previous":[11],"works":[12],"utilized":[13],"facial":[14],"expression":[15],"from":[16,71,117],"visible":[17],"spectrum":[18],"data":[19],"to":[20,39,55,67,131],"solve":[21],"emotion":[22,68,115,136],"task.":[24],"Thermal":[25],"videos":[26],"provide":[27,128],"temperature":[28],"measurement":[29],"human":[31],"body":[32],"over":[33],"time,":[34],"which":[35],"can":[36,127],"be":[37],"used":[38],"recognize":[40],"states":[42],"by":[43],"learning":[44],"its":[45],"temporal":[46,86],"pattern.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51,102],"conduct":[52],"comparative":[53],"experiments":[54],"study":[56,130],"the":[57,60,76,97,104],"effectiveness":[58],"existing":[61],"deep":[62,122],"neural":[63,93,123],"networks":[64],"when":[65],"applied":[66],"task":[70],"thermal":[72,118,139],"video.":[73],"We":[74],"analyze":[75],"effect":[77],"various":[79],"approaches":[80],"for":[81,135],"frame":[82],"sampling":[83],"video,":[85],"aggregation":[87],"between":[88],"frames,":[89],"and":[90],"different":[91],"convolutional":[92],"network":[94],"architectures.":[95],"To":[96],"best":[98],"our":[100],"knowledge,":[101],"are":[103],"first":[105],"w":[106],"ork":[107],"t":[108],"o":[109],"c":[110],"onduct":[111],"s":[112],"tudy":[113],"on":[114,121],"video":[119],"based":[120],"networks.":[124],"Our":[125],"work":[126],"preliminary":[129],"design":[132],"new":[133],"methods":[134],"domain.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
