{"id":"https://openalex.org/W4386257523","doi":"https://doi.org/10.1109/icit58056.2023.10225860","title":"A Study of Human Fitness Pose Classification Using Artificial Neural Networks","display_name":"A Study of Human Fitness Pose Classification Using Artificial Neural Networks","publication_year":2023,"publication_date":"2023-08-09","ids":{"openalex":"https://openalex.org/W4386257523","doi":"https://doi.org/10.1109/icit58056.2023.10225860"},"language":"en","primary_location":{"id":"doi:10.1109/icit58056.2023.10225860","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icit58056.2023.10225860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Information Technology (ICIT)","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/A5061531614","display_name":"Sijie Shang","orcid":null},"institutions":[{"id":"https://openalex.org/I142934699","display_name":"California State University, Fullerton","ror":"https://ror.org/02avqqw26","country_code":"US","type":"education","lineage":["https://openalex.org/I142934699"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sijie Shang","raw_affiliation_strings":["California State University, Fullerton,Department of Computer Science,Fullerton,CA,USA","Department of Computer Science, California State University, Fullerton, Fullerton, CA, USA"],"affiliations":[{"raw_affiliation_string":"California State University, Fullerton,Department of Computer Science,Fullerton,CA,USA","institution_ids":["https://openalex.org/I142934699"]},{"raw_affiliation_string":"Department of Computer Science, California State University, Fullerton, Fullerton, CA, USA","institution_ids":["https://openalex.org/I142934699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069394608","display_name":"Rong Jin","orcid":"https://orcid.org/0000-0002-8797-4646"},"institutions":[{"id":"https://openalex.org/I142934699","display_name":"California State University, Fullerton","ror":"https://ror.org/02avqqw26","country_code":"US","type":"education","lineage":["https://openalex.org/I142934699"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rong Jin","raw_affiliation_strings":["California State University, Fullerton,Department of Computer Science,Fullerton,CA,USA","Department of Computer Science, California State University, Fullerton, Fullerton, CA, USA"],"affiliations":[{"raw_affiliation_string":"California State University, Fullerton,Department of Computer Science,Fullerton,CA,USA","institution_ids":["https://openalex.org/I142934699"]},{"raw_affiliation_string":"Department of Computer Science, California State University, Fullerton, Fullerton, CA, USA","institution_ids":["https://openalex.org/I142934699"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076318084","display_name":"Kevin Desai","orcid":"https://orcid.org/0000-0002-2964-8981"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin Desai","raw_affiliation_strings":["University of Texas at San Antonio,Department of Computer Science,San Antonio,TX,USA","Department of Computer Science, University of Texas at San Antonio, San Antonio, TX, USA"],"affiliations":[{"raw_affiliation_string":"University of Texas at San Antonio,Department of Computer Science,San Antonio,TX,USA","institution_ids":["https://openalex.org/I45438204"]},{"raw_affiliation_string":"Department of Computer Science, University of Texas at San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061531614"],"corresponding_institution_ids":["https://openalex.org/I142934699"],"apc_list":null,"apc_paid":null,"fwci":0.3617,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59771423,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"250","last_page":"255"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.998199999332428,"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":0.998199999332428,"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":0.9668999910354614,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9399999976158142,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8031189441680908},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7665547132492065},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7070255279541016},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6122125387191772},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5295038223266602},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.5134912133216858},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4972698986530304},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.4299168884754181},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3306221067905426},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11679080128669739},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.05557623505592346}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8031189441680908},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7665547132492065},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7070255279541016},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6122125387191772},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5295038223266602},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.5134912133216858},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4972698986530304},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.4299168884754181},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3306221067905426},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11679080128669739},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.05557623505592346},{"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/icit58056.2023.10225860","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icit58056.2023.10225860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Information Technology (ICIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1563989202","https://openalex.org/W2064675550","https://openalex.org/W2157331557","https://openalex.org/W2962730651","https://openalex.org/W3109237455","https://openalex.org/W3208971461","https://openalex.org/W4200241827","https://openalex.org/W4206305785","https://openalex.org/W4220722977","https://openalex.org/W4225854610","https://openalex.org/W4285216783","https://openalex.org/W6756633688"],"related_works":["https://openalex.org/W2115072676","https://openalex.org/W4380075502","https://openalex.org/W2357447513","https://openalex.org/W4311212821","https://openalex.org/W2045727192","https://openalex.org/W1529660427","https://openalex.org/W2378845890","https://openalex.org/W2102065768","https://openalex.org/W4390752998","https://openalex.org/W2158578859"],"abstract_inverted_index":{"Motivated":[0],"by":[1,18],"the":[2,12,25,34,73,86,106,121,125,135,145],"increasing":[3],"demand":[4],"for":[5,54,59,85],"detecting":[6,60],"and":[7,33,61,98,102,144],"classifying":[8,62],"human":[9,63],"poses":[10],"in":[11,42,116],"realm":[13],"of":[14,37,75,131],"personalized":[15],"fitness":[16],"training":[17],"AI":[19],"technologies,":[20],"which":[21,79],"provide":[22],"feedback":[23],"on":[24],"form":[26],"to":[27,48,71,108,120,147],"help":[28],"users":[29],"exercise":[30],"more":[31],"accurately,":[32],"proven":[35],"effectiveness":[36],"some":[38],"deep":[39],"learning":[40],"models":[41,58,90,104],"achieving":[43],"that,":[44],"this":[45],"study":[46],"aims":[47],"investigate":[49],"three":[50,88],"different":[51],"ensemble":[52],"approaches":[53],"artificial":[55],"neural":[56],"network":[57],"poses.":[64],"The":[65,100],"pre-trained":[66],"MoveNet":[67],"model":[68,127,137],"was":[69],"employed":[70],"extract":[72],"positions":[74],"17":[76],"body":[77],"keypoints,":[78],"were":[80],"used":[81],"as":[82,113],"input":[83],"data":[84,112],"subsequent":[87],"classification":[89],"-":[91],"a":[92],"Feedforward":[93],"Neural":[94],"Network":[95],"(FNN),":[96],"LSTM,":[97],"GRU.":[99],"LSTM":[101,126],"GRU":[103,136],"have":[105],"ability":[107],"process":[109],"time":[110],"series":[111],"input,":[114],"resulting":[115],"improved":[117],"accuracy":[118,130,141],"compared":[119],"FNN":[122],"model.":[123],"Specifically,":[124],"achieved":[128],"an":[129,140],"nearly":[132],"95%,":[133],"while":[134],"outperformed":[138],"with":[139],"exceeding":[142],"95%":[143],"potential":[146],"reach":[148],"97.27":[149],"%.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}