{"id":"https://openalex.org/W4205859147","doi":"https://doi.org/10.1155/2022/1712929","title":"The Path of Film and Television Animation Creation Using Virtual Reality Technology under the Artificial Intelligence","display_name":"The Path of Film and Television Animation Creation Using Virtual Reality Technology under the Artificial Intelligence","publication_year":2022,"publication_date":"2022-01-13","ids":{"openalex":"https://openalex.org/W4205859147","doi":"https://doi.org/10.1155/2022/1712929"},"language":"en","primary_location":{"id":"doi:10.1155/2022/1712929","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/1712929","pdf_url":"https://downloads.hindawi.com/journals/sp/2022/1712929.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/sp/2022/1712929.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100632659","display_name":"Xin Liu","orcid":"https://orcid.org/0000-0003-2277-195X"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Liu","raw_affiliation_strings":["School of Art and Design, Lanzhou Jiaotong University, Lanzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Art and Design, Lanzhou Jiaotong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040509951","display_name":"Hua Pan","orcid":"https://orcid.org/0000-0003-3766-3388"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hua Pan","raw_affiliation_strings":["Lanzhou Echo Creative Culture Communication Co., Ltd., Lanzhou, China"],"affiliations":[{"raw_affiliation_string":"Lanzhou Echo Creative Culture Communication Co., Ltd., Lanzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100632659"],"corresponding_institution_ids":["https://openalex.org/I3133134087"],"apc_list":{"value":1800,"currency":"USD","value_usd":1800},"apc_paid":{"value":1800,"currency":"USD","value_usd":1800},"fwci":4.712,"has_fulltext":true,"cited_by_count":43,"citation_normalized_percentile":{"value":0.95977279,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"2022","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9814000129699707,"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/T14254","display_name":"Digital Media and Visual Art","score":0.9769999980926514,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/computer-science","display_name":"Computer science","score":0.8487886190414429},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.7445905208587646},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7121773958206177},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7062184810638428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.700993537902832},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.6004782915115356},{"id":"https://openalex.org/keywords/computer-animation","display_name":"Computer animation","score":0.543810248374939},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5349240303039551},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5260348916053772},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.45004093647003174},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4065207242965698},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.29115819931030273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8487886190414429},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.7445905208587646},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7121773958206177},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7062184810638428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.700993537902832},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.6004782915115356},{"id":"https://openalex.org/C69369342","wikidata":"https://www.wikidata.org/wiki/Q1401416","display_name":"Computer animation","level":3,"score":0.543810248374939},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5349240303039551},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5260348916053772},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.45004093647003174},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4065207242965698},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.29115819931030273},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2022/1712929","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/1712929","pdf_url":"https://downloads.hindawi.com/journals/sp/2022/1712929.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:068e6e65ddb54dd58a54a4895bb3298c","is_oa":true,"landing_page_url":"https://doaj.org/article/068e6e65ddb54dd58a54a4895bb3298c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scientific Programming, Vol 2022 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2022/1712929","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/1712929","pdf_url":"https://downloads.hindawi.com/journals/sp/2022/1712929.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4205859147.pdf","grobid_xml":"https://content.openalex.org/works/W4205859147.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W2516035629","https://openalex.org/W2606818745","https://openalex.org/W2609307317","https://openalex.org/W2727768217","https://openalex.org/W2744644064","https://openalex.org/W2766464167","https://openalex.org/W2769575562","https://openalex.org/W2792598722","https://openalex.org/W2794401018","https://openalex.org/W2900599858","https://openalex.org/W2906179618","https://openalex.org/W2915183519","https://openalex.org/W2922196645","https://openalex.org/W2941552282","https://openalex.org/W2944114271","https://openalex.org/W2971543796","https://openalex.org/W2976925951","https://openalex.org/W2995397335","https://openalex.org/W3014096565","https://openalex.org/W3083462291","https://openalex.org/W3098635214","https://openalex.org/W3127000115","https://openalex.org/W3182800257"],"related_works":["https://openalex.org/W3208266890","https://openalex.org/W2996933976","https://openalex.org/W2345184372","https://openalex.org/W3013515612","https://openalex.org/W2136184105","https://openalex.org/W2187500075","https://openalex.org/W2041399278","https://openalex.org/W2160451891","https://openalex.org/W2899307613","https://openalex.org/W2336974148"],"abstract_inverted_index":{"The":[0,57,135],"purpose":[1],"is":[2,67,92,142,197],"to":[3],"provide":[4,178],"a":[5,51],"more":[6],"reliable":[7],"human-computer":[8],"interaction":[9],"(HCI)":[10],"guarantee":[11],"for":[12,182,201],"animation":[13,39,46,188,206],"works":[14,40,47,189],"under":[15,41],"virtual":[16],"reality":[17],"(VR)":[18],"technology.":[19,56],"Inspired":[20],"by":[21],"artificial":[22],"intelligence":[23],"(AI)":[24],"technology":[25,43],"and":[26,44,83,88,104,166,207],"based":[27,69],"on":[28,70],"the":[29,36,63,78,89,95,98,105,111,114,119,123,130,139,151,154,163,167,174,194,202,208],"convolutional":[30],"neural":[31],"network\u2014support":[32],"vector":[33],"machine":[34],"(CNN-SVM),":[35],"differences":[37],"between":[38,97],"VR":[42,55,183,187,205],"traditional":[45],"are":[48,86],"analyzed":[49],"through":[50],"comprehensive":[52],"analysis":[53],"of":[54,80,100,107,113,122,132,138,153,198,204,210],"CNN-SVM":[58,141,156],"gesture":[59],"recognition":[60,76,136],"algorithm":[61,146,176],"using":[62],"error":[64],"correction":[65],"strategy":[66],"designed":[68,175],"HCI":[71],"recognition.":[72],"To":[73],"have":[74],"better":[75],"performance,":[77],"advantages":[79],"depth":[81],"image":[82,85,101,125,133],"color":[84],"combined,":[87],"collected":[90],"information":[91],"preprocessed":[93,124],"including":[94],"relations":[96],"times":[99],"training":[102],"iterations":[103],"accuracy":[106,121,137,152,168],"different":[108],"methods":[109],"in":[110],"direction":[112],"test":[115],"set.":[116],"After":[117],"experiments,":[118],"maximum":[120],"can":[126,177,190],"reach":[127],"0.86":[128],"showing":[129],"necessity":[131],"preprocessing.":[134],"optimized":[140,155],"compared":[143,161],"with":[144,162,193],"other":[145],"models.":[147],"Experiments":[148],"show":[149],"that":[150,173,186],"has":[157],"an":[158],"upward":[159],"trend":[160],"previous":[164],"CNN-SVM,":[165],"reaches":[169],"0.97.":[170],"It":[171,196],"proves":[172],"good":[179],"technical":[180],"support":[181],"animation,":[184],"so":[185],"interact":[191],"well":[192],"audience.":[195],"great":[199],"significance":[200],"development":[203],"improvement":[209],"people\u2019s":[211],"artistic":[212],"life":[213],"quality.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":6}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}