{"id":"https://openalex.org/W4409868706","doi":"https://doi.org/10.1145/3718751.3718788","title":"Application of facial expression analysis for student pilots in simulator training of wind shear","display_name":"Application of facial expression analysis for student pilots in simulator training of wind shear","publication_year":2024,"publication_date":"2024-11-15","ids":{"openalex":"https://openalex.org/W4409868706","doi":"https://doi.org/10.1145/3718751.3718788"},"language":"en","primary_location":{"id":"doi:10.1145/3718751.3718788","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3718751.3718788","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 4th International Conference on Big Data, Artificial Intelligence and Risk Management","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/A5008835913","display_name":"Chunyang Zhang","orcid":"https://orcid.org/0000-0003-3656-7992"},"institutions":[{"id":"https://openalex.org/I4210117754","display_name":"Chinese Academy of Civil Aviation Science and Technology","ror":"https://ror.org/023zynq23","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210117754"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyang Zhang","raw_affiliation_strings":["Aviation Safety Institute, China Academy of Civil Aviation Science and Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3656-7992","affiliations":[{"raw_affiliation_string":"Aviation Safety Institute, China Academy of Civil Aviation Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I4210117754"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Weiran Liu","orcid":"https://orcid.org/0009-0003-5317-6691"},"institutions":[{"id":"https://openalex.org/I4210117754","display_name":"Chinese Academy of Civil Aviation Science and Technology","ror":"https://ror.org/023zynq23","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210117754"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiran Liu","raw_affiliation_strings":["Aviation Safety Institute, China Academy of Civil Aviation Science and Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-5317-6691","affiliations":[{"raw_affiliation_string":"Aviation Safety Institute, China Academy of Civil Aviation Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I4210117754"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070799297","display_name":"Min Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117754","display_name":"Chinese Academy of Civil Aviation Science and Technology","ror":"https://ror.org/023zynq23","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210117754"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Luo","raw_affiliation_strings":["Aviation Safety Institute, China Academy of Civil Aviation Science and Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0009-8647-0428","affiliations":[{"raw_affiliation_string":"Aviation Safety Institute, China Academy of Civil Aviation Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I4210117754"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuan Zhang","orcid":"https://orcid.org/0009-0000-0236-1449"},"institutions":[{"id":"https://openalex.org/I4210117754","display_name":"Chinese Academy of Civil Aviation Science and Technology","ror":"https://ror.org/023zynq23","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210117754"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Zhang","raw_affiliation_strings":["Aviation Safety Institute, China Academy of Civil Aviation Science and Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0000-0236-1449","affiliations":[{"raw_affiliation_string":"Aviation Safety Institute, China Academy of Civil Aviation Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I4210117754"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yanqiu Chen","orcid":"https://orcid.org/0009-0005-5636-6401"},"institutions":[{"id":"https://openalex.org/I4210117754","display_name":"Chinese Academy of Civil Aviation Science and Technology","ror":"https://ror.org/023zynq23","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210117754"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanqiu Chen","raw_affiliation_strings":["Aviation Safety Institute, China Academy of Civil Aviation Science and Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0005-5636-6401","affiliations":[{"raw_affiliation_string":"Aviation Safety Institute, China Academy of Civil Aviation Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I4210117754"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210117754"],"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":"235"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14512","display_name":"Technology and Human Factors in Education and Health","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T14512","display_name":"Technology and Human Factors in Education and Health","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5521199703216553},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.5376819968223572},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49172070622444153},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.4857954978942871},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.4526817202568054},{"id":"https://openalex.org/keywords/aeronautics","display_name":"Aeronautics","score":0.37103068828582764},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29675737023353577},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2655408978462219},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.21508222818374634},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12946093082427979}],"concepts":[{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5521199703216553},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.5376819968223572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49172070622444153},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.4857954978942871},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.4526817202568054},{"id":"https://openalex.org/C178802073","wikidata":"https://www.wikidata.org/wiki/Q8421","display_name":"Aeronautics","level":1,"score":0.37103068828582764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29675737023353577},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2655408978462219},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.21508222818374634},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12946093082427979},{"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:10.1145/3718751.3718788","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3718751.3718788","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 4th International Conference on Big Data, Artificial Intelligence and Risk Management","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":10,"referenced_works":["https://openalex.org/W2136365879","https://openalex.org/W2150039923","https://openalex.org/W2418431543","https://openalex.org/W2885867463","https://openalex.org/W2940983946","https://openalex.org/W2988389580","https://openalex.org/W3107878263","https://openalex.org/W3201313642","https://openalex.org/W4388662708","https://openalex.org/W6761654431"],"related_works":["https://openalex.org/W230091440","https://openalex.org/W2233261550","https://openalex.org/W2810751659","https://openalex.org/W258997015","https://openalex.org/W2997094352","https://openalex.org/W3216976533","https://openalex.org/W100620283","https://openalex.org/W2495260952","https://openalex.org/W4366179611","https://openalex.org/W2642127892"],"abstract_inverted_index":{"In":[0,65],"order":[1],"to":[2,12,83,133,147,181],"improve":[3],"the":[4,10,16,21,24,27,48,68,89,97,101,112,130,183],"quality":[5],"of":[6,26,33,47,67,115,159,164,186],"pilot":[7,178],"training":[8,91,180],"and":[9,99,145],"ability":[11,132,158],"deal":[13],"with":[14,135],"stress,":[15],"Civil":[17],"Aviation":[18,35],"Administration":[19],"issued":[20],"Roadmap":[22],"for":[23,51,60,107],"Implementation":[25],"Whole":[28],"Life":[29],"Cycle":[30],"Management":[31],"System":[32],"Transport":[34],"Pilot":[36],"Skills,":[37],"in":[38,75,151,177],"which":[39],"psychological":[40,61,184],"competency":[41],"was":[42],"clearly":[43],"proposed":[44],"as":[45],"one":[46],"evaluation":[49,58],"criteria":[50],"post":[52],"competency.":[53],"However,":[54],"there":[55],"is":[56],"no":[57],"method":[59],"competence":[62,185],"at":[63],"present.":[64],"view":[66],"existing":[69],"research":[70],"on":[71],"facial":[72,86,103,169],"expression":[73,104,170],"analysis":[74,105,171],"pilots'":[76,85],"stress":[77],"coping":[78,157],"ability,":[79],"this":[80,165],"study":[81,166],"intends":[82],"collect":[84],"features":[87],"under":[88],"typical":[90],"scenario":[92,176],"(wind":[93],"shear":[94],"after":[95],"leaving":[96],"ground)":[98],"use":[100],"Noduls":[102],"system":[106],"analysis.":[108],"Meanwhile,":[109],"instructors":[110],"evaluate":[111,182],"subject":[113],"handling":[114],"pilots.":[116,187],"The":[117,162],"results":[118,163],"showed":[119],"that":[120,168],"pilots":[121,138],"who":[122,139],"could":[123],"quickly":[124],"recover":[125],"stable":[126],"emotional":[127],"states":[128,144],"had":[129,155],"best":[131],"cope":[134],"subjects,":[136],"while":[137],"did":[140],"not":[141],"experience":[142],"stressful":[143],"failed":[146],"adjust":[148],"their":[149],"emotions":[150],"a":[152,173],"timely":[153],"manner":[154],"lower":[156],"wind":[160],"shear.":[161],"show":[167],"has":[172],"potential":[174],"application":[175],"simulator":[179]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}