{"id":"https://openalex.org/W4406525645","doi":"https://doi.org/10.1109/fit63703.2024.10838444","title":"Automated Gait Event Detection in Sports: A Novel Approach Using Ant Colony and XGBoost","display_name":"Automated Gait Event Detection in Sports: A Novel Approach Using Ant Colony and XGBoost","publication_year":2024,"publication_date":"2024-12-09","ids":{"openalex":"https://openalex.org/W4406525645","doi":"https://doi.org/10.1109/fit63703.2024.10838444"},"language":"en","primary_location":{"id":"doi:10.1109/fit63703.2024.10838444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fit63703.2024.10838444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Frontiers of Information Technology (FIT)","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":null,"display_name":"Wasim Wahid","orcid":null},"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":"Wasim Wahid","raw_affiliation_strings":["Air University,Dept. of Creative Technology,Islamabad,Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air University,Dept. of Creative Technology,Islamabad,Pakistan","institution_ids":["https://openalex.org/I899713450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034081310","display_name":"Muhammad Hanzla","orcid":"https://orcid.org/0009-0000-5494-8743"},"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 Hanzla","raw_affiliation_strings":["Air University,Dept. of Computer Science,Islamabad,Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air University,Dept. of Computer Science,Islamabad,Pakistan","institution_ids":["https://openalex.org/I899713450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102627395","display_name":"Hameed ur Rahman","orcid":null},"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":"Hameed ur Rahman","raw_affiliation_strings":["Air University,Dept. of Computer Gaming Development,Islamabad,Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air University,Dept. of Computer Gaming Development,Islamabad,Pakistan","institution_ids":["https://openalex.org/I899713450"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072951124","display_name":"Ahmad Jalal","orcid":"https://orcid.org/0000-0002-6998-3784"},"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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air University,Dept. of Computer Science,Islamabad,Pakistan","institution_ids":["https://openalex.org/I899713450"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1395,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76732116,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9900000095367432,"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"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9900000095367432,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9537000060081482,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9043999910354614,"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/computer-science","display_name":"Computer science","score":0.7394722104072571},{"id":"https://openalex.org/keywords/ant-colony-optimization-algorithms","display_name":"Ant colony optimization algorithms","score":0.6688323020935059},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6382235288619995},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.6049314737319946},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6042404174804688},{"id":"https://openalex.org/keywords/ant","display_name":"ANT","score":0.5642792582511902},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"Gait analysis","score":0.4419373571872711},{"id":"https://openalex.org/keywords/ant-colony","display_name":"Ant colony","score":0.42364686727523804},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3873571455478668},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3531338572502136},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.15446627140045166}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7394722104072571},{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.6688323020935059},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6382235288619995},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.6049314737319946},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6042404174804688},{"id":"https://openalex.org/C97467695","wikidata":"https://www.wikidata.org/wiki/Q295802","display_name":"ANT","level":2,"score":0.5642792582511902},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.4419373571872711},{"id":"https://openalex.org/C60891933","wikidata":"https://www.wikidata.org/wiki/Q796575","display_name":"Ant colony","level":3,"score":0.42364686727523804},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3873571455478668},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3531338572502136},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.15446627140045166},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fit63703.2024.10838444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fit63703.2024.10838444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Frontiers of Information Technology (FIT)","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":63,"referenced_works":["https://openalex.org/W1981577403","https://openalex.org/W2079505600","https://openalex.org/W2126574503","https://openalex.org/W2569064097","https://openalex.org/W2750220067","https://openalex.org/W2909218472","https://openalex.org/W2921586637","https://openalex.org/W2922207171","https://openalex.org/W2977524124","https://openalex.org/W2999723590","https://openalex.org/W3025863361","https://openalex.org/W3044071265","https://openalex.org/W3091356402","https://openalex.org/W3094563209","https://openalex.org/W3113327043","https://openalex.org/W3128083678","https://openalex.org/W3139420163","https://openalex.org/W3154214969","https://openalex.org/W3155860132","https://openalex.org/W4226030877","https://openalex.org/W4296990648","https://openalex.org/W4319300449","https://openalex.org/W4319993451","https://openalex.org/W4362014059","https://openalex.org/W4362605309","https://openalex.org/W4362605351","https://openalex.org/W4365790334","https://openalex.org/W4382139000","https://openalex.org/W4386134981","https://openalex.org/W4386285324","https://openalex.org/W4387573316","https://openalex.org/W4391173700","https://openalex.org/W4392001995","https://openalex.org/W4393034629","https://openalex.org/W4393034741","https://openalex.org/W4393034820","https://openalex.org/W4393035077","https://openalex.org/W4393035149","https://openalex.org/W4393035303","https://openalex.org/W4396941316","https://openalex.org/W4398544099","https://openalex.org/W4399601404","https://openalex.org/W4399849614","https://openalex.org/W4400409603","https://openalex.org/W4400409755","https://openalex.org/W4400410030","https://openalex.org/W4400410064","https://openalex.org/W4400646372","https://openalex.org/W4401110886","https://openalex.org/W4401194201","https://openalex.org/W4401434568","https://openalex.org/W4401649156","https://openalex.org/W4401906083","https://openalex.org/W4402068168","https://openalex.org/W4402636078","https://openalex.org/W4402650466","https://openalex.org/W4402742439","https://openalex.org/W4403021929","https://openalex.org/W4403446100","https://openalex.org/W4403511500","https://openalex.org/W6695884976","https://openalex.org/W6747844893","https://openalex.org/W6771707472"],"related_works":["https://openalex.org/W4237535716","https://openalex.org/W2110363036","https://openalex.org/W2347951034","https://openalex.org/W2133973503","https://openalex.org/W2471060339","https://openalex.org/W2388326823","https://openalex.org/W2366876790","https://openalex.org/W2381829748","https://openalex.org/W4399062323","https://openalex.org/W2148547327"],"abstract_inverted_index":{"Advanced":[0],"techniques":[1,69],"for":[2,13,70,162],"body":[3,76,92],"part":[4],"detection":[5],"and":[6,31,34,73,91,103,122,131,176],"marker-less":[7],"sensor-based":[8],"cue":[9],"selection":[10],"is":[11],"needed":[12],"automated":[14],"human":[15,45],"posture":[16],"estimation":[17],"(A-HPE)":[18],"systems":[19],"to":[20,43,56,78,136],"efficiently":[21],"identify":[22,44],"complicated":[23,27],"activity":[24],"movements.":[25],"The":[26],"motions":[28],"during":[29],"sports":[30,112,147],"fitness":[32],"activities":[33,46],"the":[35,109,127,132,163],"differences":[36],"in":[37,63,166],"lighting":[38],"conditions":[39],"make":[40],"it":[41],"difficult":[42],"using":[47,94],"vision":[48],"sensors.":[49],"This":[50],"study":[51],"presents":[52],"an":[53,154],"innovative":[54],"approach":[55,165],"automatically":[57],"recognize":[58],"distinct":[59],"gait":[60],"events":[61],"(GEDs)":[62],"sporting":[64],"activities.":[65],"Our":[66],"system":[67,152],"integrates":[68],"detecting":[71],"individuals":[72],"extracting":[74],"crucial":[75],"points":[77,90],"establish":[79],"a":[80,141],"skeletal":[81],"framework.":[82],"Subsequently,":[83],"we":[84,114],"employ":[85],"analyses":[86],"on":[87,140],"these":[88],"key":[89],"features,":[93],"methods":[95],"such":[96],"as":[97],"histograms":[98],"of":[99,111,129,134,145,156,178],"oriented":[100],"gradients":[101],"(HOG)":[102],"joint":[104],"angle":[105],"computations.":[106],"To":[107],"address":[108],"variability":[110],"movements,":[113],"utilize":[115],"two":[116],"robust":[117],"algorithms:":[118],"ant":[119],"colony":[120],"optimization":[121],"XGBoost.":[123],"These":[124],"algorithms":[125],"facilitate":[126],"classification":[128],"movements":[130],"assignment":[133],"labels":[135],"each":[137],"event.":[138],"Evaluation":[139],"publicly":[142],"available":[143],"dataset":[144],"Olympic":[146],"demonstrates":[148],"that":[149],"our":[150],"GED":[151],"achieves":[153],"accuracy":[155],"88.81%,":[157],"surpassing":[158],"existing":[159],"methodologies.":[160],"Application":[161],"suggested":[164],"man-machine":[167],"interactions":[168],"include":[169],"augmented":[170],"reality,":[171],"service":[172],"bots,":[173],"e-health":[174],"fitness,":[175],"surveillance":[177],"security.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":7}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}