{"id":"https://openalex.org/W4396214376","doi":"https://doi.org/10.1109/access.2024.3394705","title":"A Novel Gesture Recognition Model Under Sports Scenarios Based on Kalman Filtering and YOLOv5 Algorithm","display_name":"A Novel Gesture Recognition Model Under Sports Scenarios Based on Kalman Filtering and YOLOv5 Algorithm","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4396214376","doi":"https://doi.org/10.1109/access.2024.3394705"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3394705","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3394705","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3394705","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Tingting Wu","orcid":"https://orcid.org/0009-0009-5987-462X"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Wu","raw_affiliation_strings":["College of Physical Education, Xihua University, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0009-5987-462X","affiliations":[{"raw_affiliation_string":"College of Physical Education, Xihua University, Chengdu, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101743266","display_name":"Xingfeng Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I177955009","display_name":"China University of Political Science and Law","ror":"https://ror.org/00e49gy82","country_code":"CN","type":"education","lineage":["https://openalex.org/I177955009"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingfeng Fan","raw_affiliation_strings":["China University of Political Science and Law, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Political Science and Law, Beijing, China","institution_ids":["https://openalex.org/I177955009"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9322,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72980947,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"12","issue":null,"first_page":"64886","last_page":"64896"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.996999979019165,"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":0.996999979019165,"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":0.9944999814033508,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7978309392929077},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.7816029191017151},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.6328256726264954},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.6099070310592651},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48556825518608093},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47393113374710083},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42087942361831665},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3895658254623413},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32711684703826904}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7978309392929077},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7816029191017151},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.6328256726264954},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.6099070310592651},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48556825518608093},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47393113374710083},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42087942361831665},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3895658254623413},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32711684703826904}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3394705","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3394705","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7756d40a1789498b9033121ee1431199","is_oa":true,"landing_page_url":"https://doaj.org/article/7756d40a1789498b9033121ee1431199","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 64886-64896 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3394705","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3394705","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W3197701220","https://openalex.org/W4200565296","https://openalex.org/W4205427072","https://openalex.org/W4206317890","https://openalex.org/W4213120926","https://openalex.org/W4213430171","https://openalex.org/W4226458541","https://openalex.org/W4285221484","https://openalex.org/W4288068712","https://openalex.org/W4289821388","https://openalex.org/W4294225513","https://openalex.org/W4307346135","https://openalex.org/W4309225972","https://openalex.org/W4320038264","https://openalex.org/W4321457484","https://openalex.org/W4321607191","https://openalex.org/W4321649153","https://openalex.org/W4321791640","https://openalex.org/W4362709479","https://openalex.org/W4366259360","https://openalex.org/W4366989186","https://openalex.org/W4376630464","https://openalex.org/W4377240898","https://openalex.org/W4380882674","https://openalex.org/W4381333019","https://openalex.org/W4384159635","https://openalex.org/W4385555522","https://openalex.org/W4387587642","https://openalex.org/W4387713447","https://openalex.org/W4389252896","https://openalex.org/W4392903290","https://openalex.org/W6850343001"],"related_works":["https://openalex.org/W2537963312","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2989699735"],"abstract_inverted_index":{"With":[0],"the":[1,22,28,71,88,113,128,151,182,189],"development":[2],"of":[3,24,30,43,81,110,123,176,188],"computer":[4],"vision,":[5],"automatic":[6],"gesture":[7,34,57,165],"recognition":[8,35,58,166],"towards":[9],"sports":[10,61,169,177],"scenarios":[11,62,178],"has":[12,197],"been":[13],"more":[14],"significant":[15],"in":[16,41,91,140,199],"recent":[17],"years.":[18],"However,":[19],"due":[20],"to":[21,77,120,142,161,185],"complexity":[23],"motion":[25,102],"scenes":[26],"and":[27,67,98,147,202],"diversity":[29],"target":[31],"objects,":[32],"existing":[33],"methods":[36],"still":[37],"face":[38],"certain":[39],"challenges":[40],"terms":[42],"fine-grained":[44],"feature":[45],"perception.":[46],"To":[47],"deal":[48],"with":[49,157,207],"this":[50,52,126],"issue,":[51],"paper":[53],"proposes":[54],"a":[55,163],"novel":[56],"model":[59,167],"under":[60,168],"using":[63],"Kalman":[64,72,152],"filtering":[65,73,153],"theory":[66],"YOLOv5":[68,117,130,158],"Algorithm.":[69],"Firstly,":[70],"algorithm":[74,116,131,159],"is":[75,105,118,132,155],"used":[76],"preprocess":[78],"attitude":[79,89],"data":[80,90],"targets.":[82],"In":[83,125],"particular,":[84],"it":[85,196],"can":[86],"optimize":[87],"time":[92],"series":[93],"by":[94,135,205],"combining":[95],"sensor":[96],"measurements":[97],"system":[99],"models.":[100,209],"Thus,":[101],"state":[103],"decoding":[104],"completed":[106],"for":[107],"timed":[108],"updates":[109],"trajectories.":[111],"Then,":[112],"object":[114],"detection":[115,145],"introduced":[119],"detect":[121],"gestures":[122],"humans.":[124],"part,":[127],"initial":[129],"lightly":[133],"improved":[134],"introducing":[136],"lightweight":[137],"backbone":[138],"structure,":[139],"order":[141],"improve":[143],"both":[144],"efficiency":[146],"running":[148],"efficiency.":[149],"Finally,":[150],"part":[154,160],"combined":[156],"construct":[162],"comprehensive":[164],"scenarios.":[170],"After":[171],"that,":[172],"some":[173],"real-world":[174],"images":[175],"are":[179],"utilized":[180],"as":[181],"experimental":[183],"scene":[184],"testify":[186],"performance":[187,204],"proposed":[190],"method.":[191],"The":[192],"results":[193],"show":[194],"that":[195],"advantage":[198],"accuracy,":[200],"stability,":[201],"real-time":[203],"comparing":[206],"typical":[208]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
