{"id":"https://openalex.org/W3208148441","doi":"https://doi.org/10.1109/icsipa52582.2021.9576770","title":"A Simplified Skeleton Joints Based Approach For Human Action Recognition","display_name":"A Simplified Skeleton Joints Based Approach For Human Action Recognition","publication_year":2021,"publication_date":"2021-09-13","ids":{"openalex":"https://openalex.org/W3208148441","doi":"https://doi.org/10.1109/icsipa52582.2021.9576770","mag":"3208148441"},"language":"en","primary_location":{"id":"doi:10.1109/icsipa52582.2021.9576770","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa52582.2021.9576770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","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":"https://openalex.org/A5088043113","display_name":"Najeeb Ur Rehman Malik","orcid":"https://orcid.org/0000-0002-9938-1282"},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Najeeb Ur Rehman Malik","raw_affiliation_strings":["Computer Vision, Video and Image, Processing Research Lab, School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi, Malaysia, 81310, Johor, Malaysia"],"affiliations":[{"raw_affiliation_string":"Computer Vision, Video and Image, Processing Research Lab, School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi, Malaysia, 81310, Johor, Malaysia","institution_ids":["https://openalex.org/I4576418"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Syed A.R. Abu Bakar","orcid":null},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Syed A.R. Abu Bakar","raw_affiliation_strings":["Computer Vision, Video and Image, Processing Research Lab, School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi, Malaysia, 81310, Johor, Malaysia"],"affiliations":[{"raw_affiliation_string":"Computer Vision, Video and Image, Processing Research Lab, School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi, Malaysia, 81310, Johor, Malaysia","institution_ids":["https://openalex.org/I4576418"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075184201","display_name":"Usman Ullah Sheikh","orcid":"https://orcid.org/0000-0001-9054-093X"},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Usman Ullah Sheikh","raw_affiliation_strings":["Computer Vision, Video and Image, Processing Research Lab, School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi, Malaysia, 81310, Johor, Malaysia"],"affiliations":[{"raw_affiliation_string":"Computer Vision, Video and Image, Processing Research Lab, School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi, Malaysia, 81310, Johor, Malaysia","institution_ids":["https://openalex.org/I4576418"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088043113"],"corresponding_institution_ids":["https://openalex.org/I4576418"],"apc_list":null,"apc_paid":null,"fwci":0.1942,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5053555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"72","last_page":"76"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9976000189781189,"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":0.9969000220298767,"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":0.807400107383728},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.7608978152275085},{"id":"https://openalex.org/keywords/human-skeleton","display_name":"Human skeleton","score":0.7414214611053467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7191319465637207},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6300305128097534},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6293606758117676},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5649572610855103},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48775655031204224},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4641963243484497},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4609670341014862},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4600098133087158},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4417567253112793},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4281392991542816},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4205312728881836},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.41672617197036743},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0847826898097992},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0827299952507019}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.807400107383728},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.7608978152275085},{"id":"https://openalex.org/C2777846634","wikidata":"https://www.wikidata.org/wiki/Q9621","display_name":"Human skeleton","level":2,"score":0.7414214611053467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7191319465637207},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6300305128097534},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6293606758117676},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5649572610855103},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48775655031204224},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4641963243484497},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4609670341014862},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4600098133087158},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4417567253112793},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4281392991542816},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4205312728881836},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.41672617197036743},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0847826898097992},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0827299952507019},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsipa52582.2021.9576770","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa52582.2021.9576770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2107337520","https://openalex.org/W2559085405","https://openalex.org/W2573009830","https://openalex.org/W2579984156","https://openalex.org/W2604321021","https://openalex.org/W2607707631","https://openalex.org/W2736707111","https://openalex.org/W2967307473","https://openalex.org/W3098088916","https://openalex.org/W3098538019","https://openalex.org/W4211154503","https://openalex.org/W6736943367","https://openalex.org/W6807927782"],"related_works":["https://openalex.org/W2953562271","https://openalex.org/W1979723775","https://openalex.org/W2126881935","https://openalex.org/W4312993112","https://openalex.org/W2784535632","https://openalex.org/W2347221702","https://openalex.org/W3209135759","https://openalex.org/W2523395320","https://openalex.org/W41889997","https://openalex.org/W2348425426"],"abstract_inverted_index":{"The":[0,118,172],"growing":[1],"technological":[2],"development":[3],"in":[4,10,17,33,78,114,168],"the":[5,29,34,42,83,90,100,106,115,129,138,144,161,165,169],"field":[6,35],"of":[7,23,31,36,41,131,140,148,181],"computer":[8],"vision":[9],"general,":[11],"and":[12,103,110],"human":[13,37],"action":[14,38],"recognition":[15,170],"(HAR),":[16],"particular,":[18],"have":[19],"attracted":[20],"increasing":[21],"number":[22],"researchers":[24],"from":[25,105,143],"various":[26],"disciplines.":[27],"Amid":[28],"variety":[30],"challenges":[32],"recognition,":[39],"one":[40],"major":[43],"issues":[44],"is":[45,67,135],"complex":[46],"modelling":[47],"which":[48,56,134],"requires":[49,58],"multiple":[50],"parameters":[51],"leading":[52],"to":[53,70,88],"troublesome":[54],"training":[55],"further":[57],"heavy":[59],"configuration":[60],"machines":[61],"for":[62,123,137],"real-time":[63],"recognition.":[64],"Therefore,":[65],"there":[66],"a":[68,72,153,175],"need":[69],"develop":[71],"simplified":[73],"method":[74,173],"that":[75,98],"could":[76],"result":[77],"reduced":[79],"complexity,":[80],"without":[81],"compromising":[82],"performance":[84,177],"accuracy.":[85],"In":[86],"order":[87],"address":[89],"mentioned":[91],"issue,":[92],"this":[93],"paper":[94],"proposes":[95],"an":[96,179],"approach":[97],"extracts":[99],"mean,":[101],"variance":[102],"median":[104],"skeleton":[107,126,141,166],"joint":[108],"locations":[109],"directly":[111],"uses":[112],"them":[113],"classification":[116],"process.":[117,171],"system":[119],"used":[120],"MCAD":[121,186],"dataset":[122],"extracting":[124],"2D":[125,145],"features":[127,142],"with":[128,178,185],"help":[130],"OpenPose":[132],"technique,":[133],"suitable":[136],"extraction":[139],"image":[146,150],"instead":[147],"3D":[149],"or":[151,164],"using":[152,159],"depth":[154],"sensor.":[155],"Henceforth,":[156],"we":[157],"avoid":[158],"either":[160],"RGB":[162],"images":[163,167],"shows":[174],"promising":[176],"accuracy":[180],"73.8%":[182],"when":[183],"tested":[184],"dataset.":[187]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
