{"id":"https://openalex.org/W7225823429","doi":"https://doi.org/10.5281/zenodo.24143874","title":"Design, Implementation and Empirical Evaluation of an AI-Powered Virtual Trainer for Real-Time Exercise Monitoring and Form Correction","display_name":"Design, Implementation and Empirical Evaluation of an AI-Powered Virtual Trainer for Real-Time Exercise Monitoring and Form Correction","publication_year":2026,"publication_date":"2026-11-11","ids":{"openalex":"https://openalex.org/W7225823429","doi":"https://doi.org/10.5281/zenodo.24143874"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.24143874","doi":"https://doi.org/10.5281/zenodo.24143874","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24143874","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.24143874","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5161477564","display_name":"Sidat Abrar Idrish","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sidat Abrar Idrish","raw_affiliation_strings":["Ghousia College Of Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ghousia College Of Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5161433878","display_name":"Muneeb Ul Islam","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muneeb Ul Islam","raw_affiliation_strings":["Ghousia College of Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ghousia College of Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5161439996","display_name":"Musaib Farooq","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Musaib Farooq","raw_affiliation_strings":["Ghousia College of Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ghousia College of Engineering","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5161463879","display_name":"Samiuallah Ganaie","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Samiuallah Ganaie","raw_affiliation_strings":["Ghousia College of Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ghousia College of Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9794999957084656,"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":0.9794999957084656,"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/T13189","display_name":"Physical Education and Training Studies","score":0.006800000090152025,"subfield":{"id":"https://openalex.org/subfields/3612","display_name":"Physical Therapy, Sports Therapy and Rehabilitation"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.00570000009611249,"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":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7059999704360962},{"id":"https://openalex.org/C2780463512","wikidata":"https://www.wikidata.org/wiki/Q15122700","display_name":"Trainer","level":2,"score":0.6474000215530396},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5580999851226807},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.54830002784729},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.47839999198913574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3806000053882599},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35569998621940613},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.3391999900341034},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3043999969959259},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.3027999997138977},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.30219998955726624},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.29409998655319214},{"id":"https://openalex.org/C139002025","wikidata":"https://www.wikidata.org/wiki/Q3001212","display_name":"Lift (data mining)","level":2,"score":0.28110000491142273},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.2660999894142151},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.265500009059906},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.25859999656677246},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.2540000081062317}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.24143874","doi":"https://doi.org/10.5281/zenodo.24143874","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24143874","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},{"id":"doi:10.5281/zenodo.24143875","doi":"https://doi.org/10.5281/zenodo.24143875","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24143875","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"}],"best_oa_location":{"id":"doi:10.5281/zenodo.24143874","doi":"https://doi.org/10.5281/zenodo.24143874","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24143874","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Traditional":[0],"exercise":[1,27,45,91,150,175],"monitoring":[2,46,176],"often":[3],"relies":[4],"on":[5,26,94],"continuous":[6],"supervision":[7],"from":[8],"personal":[9],"trainers":[10],"or":[11,81],"static":[12],"pre-recorded":[13],"workout":[14,145],"videos,":[15],"which":[16],"can":[17],"limit":[18],"accessibility":[19],"and":[20,36,47,61,98,116,129,144,161],"fail":[21],"to":[22,147],"provide":[23],"personalized":[24],"feedback":[25],"form.":[28],"This":[29],"paper":[30],"presents":[31],"the":[32,66,106,156],"exhaustive":[33],"design,":[34],"implementation,":[35],"empirical":[37,153],"evaluation":[38],"of":[39,164],"an":[40,171],"AI-Powered":[41],"Virtual":[42],"Trainer\u2014a":[43],"real-time":[44,100,173],"form":[48,127],"correction":[49],"system.":[50],"Built":[51],"using":[52,108],"a":[53,73,109,137],"Python":[54],"backend":[55],"with":[56],"OpenCV":[57],"for":[58,63,178],"video":[59],"processing":[60],"MediaPipe":[62],"pose":[64,123],"estimation,":[65],"system":[67,107],"tracks":[68],"human":[69],"body":[70,87],"landmarks":[71],"via":[72],"standard":[74],"webcam":[75],"without":[76],"requiring":[77],"specialized":[78],"motion-capture":[79],"equipment":[80],"wearable":[82],"sensors.":[83],"The":[84,133,152],"application":[85],"evaluates":[86],"posture,":[88],"automatically":[89],"counts":[90],"repetitions":[92],"based":[93],"predefined":[95],"movement":[96],"conditions,":[97],"provides":[99],"basic":[101],"form-correction":[102],"feedback.":[103],"We":[104],"evaluate":[105],"comprehensive":[110],"testing":[111],"strategy":[112],"involving":[113],"functional,":[114],"interface,":[115,140],"integration":[117],"test":[118],"cases":[119],"covering":[120],"camera":[121,138],"connectivity,":[122],"detection,":[124],"repetition":[125],"counting,":[126],"feedback,":[128],"SQLite":[130],"database":[131],"operations.":[132],"platform":[134],"also":[135],"features":[136],"calibration":[139],"fitness":[141,168],"goal":[142],"management,":[143],"analytics":[146],"encourage":[148],"consistent":[149],"routines.":[151],"results":[154],"demonstrate":[155],"practical":[157],"potential,":[158],"computational":[159],"feasibility,":[160],"high":[162],"accuracy":[163],"computer":[165],"vision":[166],"in":[167],"assistance,":[169],"providing":[170],"accessible,":[172],"automated":[174],"solution":[177],"independent":[179],"home-based":[180],"workouts.":[181]},"counts_by_year":[],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2026-11-12T00:00:00"}