{"id":"https://openalex.org/W4398544099","doi":"https://doi.org/10.1109/icarsc61747.2024.10535954","title":"Machine learning Based on Body Points Estimation for Sports Event Recognition","display_name":"Machine learning Based on Body Points Estimation for Sports Event Recognition","publication_year":2024,"publication_date":"2024-05-02","ids":{"openalex":"https://openalex.org/W4398544099","doi":"https://doi.org/10.1109/icarsc61747.2024.10535954"},"language":"en","primary_location":{"id":"doi:10.1109/icarsc61747.2024.10535954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarsc61747.2024.10535954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)","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/A5083047437","display_name":"Naif Al Mudawi","orcid":null},"institutions":[{"id":"https://openalex.org/I47164929","display_name":"Najran University","ror":"https://ror.org/05edw4a90","country_code":"SA","type":"education","lineage":["https://openalex.org/I47164929"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Naif Al Mudawi","raw_affiliation_strings":["Najran University,Dept. of Computer Science,Najran,Saudi Arabai","Dept. of Computer Science, Najran University, Najran, Saudi Arabai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Najran University,Dept. of Computer Science,Najran,Saudi Arabai","institution_ids":["https://openalex.org/I47164929"]},{"raw_affiliation_string":"Dept. of Computer Science, Najran University, Najran, Saudi Arabai","institution_ids":["https://openalex.org/I47164929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034949150","display_name":"Muhammad Tayyab","orcid":"https://orcid.org/0000-0003-2658-2494"},"institutions":[{"id":"https://openalex.org/I899713450","display_name":"Air University","ror":"https://ror.org/03yfe9v83","country_code":"PK","type":"education","lineage":["https://openalex.org/I899713450"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Tayyab","raw_affiliation_strings":["Air University,Dept. of Computer Science,Islamabad,Pakistan","Dept. of Computer Science, Air University, Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air University,Dept. of Computer Science,Islamabad,Pakistan","institution_ids":["https://openalex.org/I899713450"]},{"raw_affiliation_string":"Dept. of Computer Science, Air University, Islamabad, Pakistan","institution_ids":["https://openalex.org/I899713450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077856667","display_name":"Muhammad Waqas Ahmed","orcid":"https://orcid.org/0000-0003-1021-7505"},"institutions":[{"id":"https://openalex.org/I899713450","display_name":"Air University","ror":"https://ror.org/03yfe9v83","country_code":"PK","type":"education","lineage":["https://openalex.org/I899713450"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Waqas Ahmed","raw_affiliation_strings":["Air University,Dept. of Computer Science,Islamabad,Pakistan","Dept. of Computer Science, Air University, Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air University,Dept. of Computer Science,Islamabad,Pakistan","institution_ids":["https://openalex.org/I899713450"]},{"raw_affiliation_string":"Dept. of Computer Science, Air University, Islamabad, Pakistan","institution_ids":["https://openalex.org/I899713450"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101897714","display_name":"Ahmad Jalal","orcid":"https://orcid.org/0009-0000-8421-8477"},"institutions":[{"id":"https://openalex.org/I899713450","display_name":"Air University","ror":"https://ror.org/03yfe9v83","country_code":"PK","type":"education","lineage":["https://openalex.org/I899713450"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Ahmad Jalal","raw_affiliation_strings":["Air University,Dept. of Computer Science,Islamabad,Pakistan","Dept. of Computer Science, Air University, Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air University,Dept. of Computer Science,Islamabad,Pakistan","institution_ids":["https://openalex.org/I899713450"]},{"raw_affiliation_string":"Dept. of Computer Science, Air University, Islamabad, Pakistan","institution_ids":["https://openalex.org/I899713450"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.7804,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.98802193,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"120","last_page":"125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9836999773979187,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9746000170707703,"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/discriminative-model","display_name":"Discriminative model","score":0.8279219269752502},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7684332728385925},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7091017961502075},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5668593645095825},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5386044979095459},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5365638136863708},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5305383801460266},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5038322806358337},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.49799537658691406},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4900878667831421},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4535828232765198},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43710535764694214},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4175611734390259},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32790911197662354}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8279219269752502},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7684332728385925},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7091017961502075},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5668593645095825},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5386044979095459},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5365638136863708},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5305383801460266},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5038322806358337},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.49799537658691406},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4900878667831421},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4535828232765198},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43710535764694214},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4175611734390259},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32790911197662354},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarsc61747.2024.10535954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarsc61747.2024.10535954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W92081101","https://openalex.org/W1483393862","https://openalex.org/W1559083155","https://openalex.org/W1947481528","https://openalex.org/W2050282683","https://openalex.org/W2152084636","https://openalex.org/W2322020277","https://openalex.org/W2533503513","https://openalex.org/W2566781219","https://openalex.org/W2735467921","https://openalex.org/W2783883100","https://openalex.org/W2794402674","https://openalex.org/W2803023819","https://openalex.org/W2947930228","https://openalex.org/W2994509105","https://openalex.org/W3033096279","https://openalex.org/W3094563209","https://openalex.org/W3155860132","https://openalex.org/W3156292869","https://openalex.org/W4296990552","https://openalex.org/W4313328458","https://openalex.org/W4360584281","https://openalex.org/W4362014059","https://openalex.org/W4365790334","https://openalex.org/W4379929998","https://openalex.org/W4382139000","https://openalex.org/W4385338613","https://openalex.org/W4385627116","https://openalex.org/W4393034741","https://openalex.org/W4393034820","https://openalex.org/W4393035077","https://openalex.org/W4393035120","https://openalex.org/W4393035149","https://openalex.org/W4403511347","https://openalex.org/W4403511500","https://openalex.org/W6677326919","https://openalex.org/W6741261211","https://openalex.org/W6747844893","https://openalex.org/W6873149361","https://openalex.org/W6873540129"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2521627374","https://openalex.org/W2981954115"],"abstract_inverted_index":{"To":[0,56],"examine":[1],"the":[2,22,44,81,85,89,97,120,127,143],"realm":[3],"of":[4,27,39,66,84,119,134],"event":[5],"identification":[6,90],"and":[7,31,49,72,94,110],"recognition":[8],"within":[9,53],"sequential":[10],"images,":[11],"various":[12],"parameters":[13,18],"have":[14],"been":[15],"employed.":[16],"These":[17],"encompass":[19],"factors":[20],"like":[21],"size,":[23],"location,":[24],"or":[25],"positioning":[26],"human":[28],"body":[29,45,60],"parts":[30],"their":[32],"associated":[33],"contextual":[34],"influences.":[35],"we":[36,62,123],"conducted":[37,124],"estimations":[38],"multiple":[40],"key":[41,59],"points":[42],"on":[43],"to":[46],"effectively":[47],"monitor":[48],"track":[50],"its":[51],"presence":[52],"intricate":[54],"events.":[55],"identify":[57],"these":[58],"points,":[61],"employ":[63],"a":[64,75,100,131],"fusion":[65,79],"diverse":[67],"feature":[68],"descriptors,":[69],"combining":[70],"FAST":[71],"Akaze,":[73],"in":[74],"harmonious":[76],"manner.":[77],"This":[78],"enhances":[80],"discriminative":[82],"power":[83],"extracted":[86],"features,":[87],"making":[88],"process":[91],"more":[92],"robust":[93],"effective.":[95],"For":[96],"classification":[98],"phase,":[99],"hybrid":[101],"approach":[102],"is":[103],"introduced,":[104],"synergizing":[105],"Particle":[106],"Swarm":[107],"Optimization":[108],"(PSO)":[109],"Artificial":[111],"Neural":[112],"Networks":[113],"(ANN).":[114],"In":[115],"our":[116,137],"extensive":[117],"evaluation":[118],"proposed":[121],"approach,":[122],"experiments":[125],"using":[126],"UCF-101":[128],"dataset,":[129],"achieving":[130],"noteworthy":[132],"accuracy":[133],"85.9%.":[135],"Moreover,":[136],"precision":[138],"score":[139],"reached":[140],"84.1%,":[141],"while":[142],"recall":[144],"rate":[145],"was":[146],"86.6%.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":31}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}