{"id":"https://openalex.org/W4285076567","doi":"https://doi.org/10.5281/zenodo.6824902","title":"AI Human Pose Estimation: Yoga Pose Detection and Correction","display_name":"AI Human Pose Estimation: Yoga Pose Detection and Correction","publication_year":2022,"publication_date":"2022-07-13","ids":{"openalex":"https://openalex.org/W4285076567","doi":"https://doi.org/10.5281/zenodo.6824902"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.6824902","doi":"https://doi.org/10.5281/zenodo.6824902","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.6824902","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.6824902","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023921563","display_name":"Rutuja Gajbhiye","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rutuja Gajbhiye","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006291229","display_name":"Snehal Jarag","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Snehal Jarag","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110462148","display_name":"Pooja Gaikwad","orcid":"https://orcid.org/0009-0005-7586-3585","observed_orcids":["https://orcid.org/0009-0005-7586-3585"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gaikwad, Pooja","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5004909044","display_name":"Shweta Ashish Koparde","orcid":"https://orcid.org/0000-0002-2153-2538","observed_orcids":["https://orcid.org/0000-0002-2153-2538"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Koparde, Shweta","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9495,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.87655218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"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":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/T10036","display_name":"Advanced Neural Network Applications","score":0.0,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/human-pose-estimation","display_name":"human pose estimation","score":0.921999990940094},{"id":"https://openalex.org/keywords/yoga-pose-detection","display_name":"yoga pose detection","score":0.9810000061988831},{"id":"https://openalex.org/keywords/android-application","display_name":"Android application","score":0.6890000104904175}],"concepts":[{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.8912671804428101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6238691210746765},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5048757195472717},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5042122602462769},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.43721163272857666},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.42872732877731323},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.382625013589859},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12186792492866516},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.6824902","doi":"https://doi.org/10.5281/zenodo.6824902","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.6824902","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.6824903","doi":"https://doi.org/10.5281/zenodo.6824903","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.6824903","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.6824902","doi":"https://doi.org/10.5281/zenodo.6824902","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.6824902","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3092481415","https://openalex.org/W4365518988","https://openalex.org/W4200263372","https://openalex.org/W4375951626","https://openalex.org/W4316038311","https://openalex.org/W4391852476","https://openalex.org/W3135751599","https://openalex.org/W4321063493","https://openalex.org/W7214389780","https://openalex.org/W6930954121"],"abstract_inverted_index":{"The":[0,99,156,192],"most":[1],"important":[2,29],"of":[3,51,92,94,128,136,207],"yoga":[4,21,25,107],"poses":[5,179],"is":[6,116,125],"known":[7],"around":[8],"the":[9,13,27,49,70,82,90,102,114,134,137,143,146,163,176,182,197,200,208],"world":[10],"and":[11,53,55,80,118,190],"proves":[12],"health":[14,52],"benefits":[15],"preached":[16],"by":[17],"ancient":[18],"sages.":[19],"As":[20],"becomes":[22],"more":[23],"important,":[24],"faces":[26],"following":[28,100],"challenges:":[30],"Computer":[31],"vision":[32,130],"technology":[33],"provides":[34],"a":[35,126,167],"promising":[36],"solution":[37],"for":[38,77,173,187],"assessing":[39],"human":[40,147,177],"posture.":[41],"However,":[42],"these":[43],"techniques":[44],"are":[45,57,150,180],"rarely":[46],"used":[47,76,104],"in":[48,110],"areas":[50],"exercise,":[54],"there":[56],"no":[58],"specific":[59],"references":[60],"or":[61],"projects.":[62],"Named":[63],"after":[64],"yoga.":[65],"This":[66],"white":[67],"paper":[68],"describes":[69,101],"different":[71],"technologies":[72],"that":[73,131,140,204],"can":[74,194],"be":[75],"pose":[78,108,183],"estimation":[79,109,124,184],"summarize":[81],"best":[83],"ways":[84,152],"to":[85,105,153,171,199],"use":[86,93,159],"them":[87],"based":[88],"on":[89],"ease":[91],"your":[95],"Android":[96,111],"app":[97,115],"application.":[98],"methodology":[103],"provide":[106],"applications,":[112],"how":[113,119],"modelled,":[117],"each":[120],"component":[121],"works.":[122],"Pose":[123],"branch":[127],"computer":[129,193],"deals":[132],"with":[133,161],"recognition":[135],"individual":[138],"parts":[139,206],"make":[141],"up":[142],"body":[144,178],"(usually":[145],"body).":[148],"There":[149],"several":[151],"achieve":[154],"this,":[155],"approach":[157],"I":[158],"starts":[160],"passing":[162],"incoming":[164],"image":[165,198],"through":[166],"CNN":[168],"classifier":[169],"trained":[170,188],"look":[172],"people.":[174],"When":[175],"recognized,":[181],"network":[185],"searches":[186],"joints":[189],"limbs.":[191],"then":[195],"display":[196],"user":[201],"using":[202],"markers":[203],"identify":[205],"body.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2022-07-13T00:00:00"}