{"id":"https://openalex.org/W3169447043","doi":"https://doi.org/10.1145/3449301.3449333","title":"Research on Evaluation Algorithm of Teacher's Teaching Enthusiasm Based on Video","display_name":"Research on Evaluation Algorithm of Teacher's Teaching Enthusiasm Based on Video","publication_year":2020,"publication_date":"2020-11-20","ids":{"openalex":"https://openalex.org/W3169447043","doi":"https://doi.org/10.1145/3449301.3449333","mag":"3169447043"},"language":"en","primary_location":{"id":"doi:10.1145/3449301.3449333","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3449301.3449333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 6th International Conference on Robotics and Artificial Intelligence","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/A5079096928","display_name":"Yu\u2010Jia Chen","orcid":"https://orcid.org/0000-0001-7563-4073"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujia Chen","raw_affiliation_strings":["Beijing Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101941815","display_name":"Chongwen Wang","orcid":"https://orcid.org/0000-0003-0203-3167"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongwen Wang","raw_affiliation_strings":["Beijing Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076176504","display_name":"Zefeng Jian","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088511","display_name":"Inner Mongolia Electric Power (China)","ror":"https://ror.org/0041szh84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210088511"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zefeng Jian","raw_affiliation_strings":["Inner Mongolia Power Information&amp;Communication Center, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia Power Information&amp;Communication Center, China","institution_ids":["https://openalex.org/I4210088511"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.20398809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"184","last_page":"191"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9879999756813049,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9828000068664551,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/enthusiasm","display_name":"Enthusiasm","score":0.8996357917785645},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7098216414451599},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6757290363311768},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6261851191520691},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5437823534011841},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5392983555793762},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46150046586990356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4440557062625885},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44400861859321594},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.419254332780838},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.41187185049057007},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3677610754966736},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1314733624458313}],"concepts":[{"id":"https://openalex.org/C2781354396","wikidata":"https://www.wikidata.org/wiki/Q840407","display_name":"Enthusiasm","level":2,"score":0.8996357917785645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7098216414451599},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6757290363311768},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6261851191520691},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5437823534011841},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5392983555793762},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46150046586990356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4440557062625885},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44400861859321594},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.419254332780838},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.41187185049057007},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3677610754966736},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1314733624458313},{"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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3449301.3449333","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3449301.3449333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 6th International Conference on Robotics and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8600000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1878286144","https://openalex.org/W2559085405","https://openalex.org/W2796347433","https://openalex.org/W2804690186","https://openalex.org/W2976895217","https://openalex.org/W2981458089","https://openalex.org/W3102246728","https://openalex.org/W3104871618"],"related_works":["https://openalex.org/W2151328441","https://openalex.org/W2392738674","https://openalex.org/W2390409831","https://openalex.org/W3018011161","https://openalex.org/W2356952453","https://openalex.org/W1553417351","https://openalex.org/W2399852854","https://openalex.org/W2367268653","https://openalex.org/W4240267486","https://openalex.org/W2808718538"],"abstract_inverted_index":{"Most":[0],"of":[1,36,77,88,126,135,144],"the":[2,27,49,75,82,86,92,107,115,127,133,136,142,145,152],"current":[3],"research":[4,32],"on":[5,26,48,85,121],"teachers'":[6,12,101],"teaching":[7,29,37,43,56],"enthusiasm":[8],"is":[9,111,131,140,149,155],"to":[10,91,99],"define":[11],"emotions":[13],"in":[14],"a":[15,41],"qualitative":[16],"way,":[17],"but":[18],"lacks":[19],"intuitive":[20],"digital":[21],"or":[22],"image":[23],"representations.":[24],"Based":[25],"online":[28],"platform,":[30],"this":[31],"collects":[33],"various":[34,59],"types":[35],"videos,":[38],"and":[39,71,80,151],"establishes":[40],"teacher's":[42,55],"emotion":[44,51],"data":[45],"set":[46],"based":[47,84,120],"PAD":[50],"model,":[52],"then":[53],"extracts":[54],"features":[57,76,83],"through":[58],"algorithms":[60],"such":[61],"as":[62],"sound":[63],"feature":[64,90,117,122],"extraction,":[65],"facial":[66],"expression":[67],"recognition,":[68],"target":[69],"detection,":[70],"pose":[72],"estimation.":[73],"Analyze":[74],"different":[78],"modalities,":[79],"cascade":[81],"contribution":[87],"each":[89],"result.":[93],"Finally,":[94],"use":[95],"BP":[96],"neural":[97],"network":[98],"predict":[100],"enthusiasm.":[102],"The":[103,124],"study":[104],"found":[105],"that":[106],"model":[108,130,139,148],"prediction":[109,129,138,147],"performance":[110],"better":[112],"after":[113],"adopting":[114],"cascading":[116],"fusion":[118],"method":[119],"contribution.":[123],"loss":[125,134,143,154],"P":[128],"0.0586,":[132],"A":[137],"0.0517,":[141],"D":[146],"0.0428,":[150],"average":[153],"0.0510.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
