{"id":"https://openalex.org/W4393970526","doi":"https://doi.org/10.1145/3644116.3644239","title":"A New 3D Human Pose Estimation Network for Knee Posture Estimation","display_name":"A New 3D Human Pose Estimation Network for Knee Posture Estimation","publication_year":2023,"publication_date":"2023-10-20","ids":{"openalex":"https://openalex.org/W4393970526","doi":"https://doi.org/10.1145/3644116.3644239"},"language":"en","primary_location":{"id":"doi:10.1145/3644116.3644239","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3644116.3644239","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3644116.3644239","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3644116.3644239","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041475935","display_name":"Shangqi Cui","orcid":"https://orcid.org/0009-0003-9802-7470"},"institutions":[{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangqi Cui","raw_affiliation_strings":["Beijing Key Laboratory of Foundamental Research on Biomechanics in Clinical Application, Capital Medical University, China"],"raw_orcid":"https://orcid.org/0009-0003-9802-7470","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Foundamental Research on Biomechanics in Clinical Application, Capital Medical University, China","institution_ids":["https://openalex.org/I183519381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008253329","display_name":"Fan Peng","orcid":"https://orcid.org/0000-0003-4586-9706"},"institutions":[{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Peng","raw_affiliation_strings":["Beijing Key Laboratory of Foundamental Research on Biomechanics in Clinical Application, Capital Medical University, China"],"raw_orcid":"https://orcid.org/0000-0003-4586-9706","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Foundamental Research on Biomechanics in Clinical Application, Capital Medical University, China","institution_ids":["https://openalex.org/I183519381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102821513","display_name":"Zhi Yang","orcid":"https://orcid.org/0000-0002-7832-641X"},"institutions":[{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Yang","raw_affiliation_strings":["Beijing Key Laboratory of Foundamental Research on Biomechanics in Clinical Application, Capital Medical University, China"],"raw_orcid":"https://orcid.org/0000-0002-7832-641X","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Foundamental Research on Biomechanics in Clinical Application, Capital Medical University, China","institution_ids":["https://openalex.org/I183519381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183519381"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27585933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"734","last_page":"739"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"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":0.9995999932289124,"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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9958000183105469,"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/estimation","display_name":"Estimation","score":0.8586819171905518},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.7504661083221436},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6568281054496765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.392488956451416},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32665520906448364},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15138640999794006}],"concepts":[{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.8586819171905518},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7504661083221436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6568281054496765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.392488956451416},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32665520906448364},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15138640999794006},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3644116.3644239","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3644116.3644239","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3644116.3644239","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3644116.3644239","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3644116.3644239","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3644116.3644239","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","score":0.5199999809265137,"display_name":"Gender equality"}],"awards":[{"id":"https://openalex.org/G6632353718","display_name":null,"funder_award_id":"61827809","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6987905481","display_name":null,"funder_award_id":"Z211100003521005","funder_id":"https://openalex.org/F4320325902","funder_display_name":"Beijing Municipal Science and Technology Commission"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325902","display_name":"Beijing Municipal Science and Technology Commission","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393970526.pdf","grobid_xml":"https://content.openalex.org/works/W4393970526.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W2101032778","https://openalex.org/W2502768166","https://openalex.org/W2554247908","https://openalex.org/W2559085405","https://openalex.org/W2604375920","https://openalex.org/W2612706635","https://openalex.org/W2752253262","https://openalex.org/W2758778552","https://openalex.org/W2769237672","https://openalex.org/W2916798096","https://openalex.org/W2956061722","https://openalex.org/W2964221239","https://openalex.org/W2991247554","https://openalex.org/W3098473649","https://openalex.org/W3157441214","https://openalex.org/W3165265377","https://openalex.org/W3173283771"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"In":[0],"lower":[1,66],"extremity":[2],"bone":[3],"surgery,":[4],"the":[5,10,15,24,42,64,70,74,78,98,110,129,137,142,145,153,168,189,192,198,210,223,235,241,251,254,273,277],"surgeons":[6],"need":[7],"to":[8,13,62,77,96,127,187,206,272],"adjust":[9],"patient's":[11,65,75,99,111],"posture":[12,269],"expose":[14],"surgical":[16],"site,":[17],"which":[18,91,217,263],"is":[19,29,38,60,125,204,248],"usually":[20],"done":[21],"manually":[22,27,274],"by":[23,166],"operator.":[25],"However,":[26],"adjusting":[28],"time-consuming":[30],"and":[31,54,69,103,158,184,194,212,238,250,256,261],"labor-intensive.":[32],"An":[33],"automatic":[34],"positioning":[35,71],"system":[36,171],"(APS)":[37],"more":[39],"preferable":[40],"over":[41],"manual":[43],"operation.":[44],"The":[45,156,173,229],"APS":[46],"includes":[47],"an":[48],"electromechanic":[49],"setup,":[50],"a":[51,55,84,93,107,119,219],"monocular":[52,58,116],"camera":[53,59],"computer.":[56],"A":[57],"used":[61,126,205],"detect":[63],"limb":[67],"postures,":[68],"device":[72],"adjusts":[73],"knee":[76,100,112,162,169,268],"desired":[79],"postures.":[80,279],"This":[81],"study":[82,180],"employs":[83],"3D":[85,147,174,227],"human":[86,134,224],"pose":[87,113],"estimation":[88,221],"(HPE)":[89],"network,":[90,149],"contains":[92],"dual-attention":[94],"module,":[95],"estimate":[97],"joint":[101,131,163,244],"angle":[102],"provide":[104],"physicians":[105],"with":[106],"measure":[108],"of":[109,133,161,197,222,253,276],"automatically":[114],"from":[115,209],"images.":[117,135],"First,":[118],"trained":[120],"cascaded":[121],"pyramid":[122],"network":[123,176],"(CPN)":[124],"obtain":[128,188],"2D":[130],"points":[132],"Then,":[136],"detected":[138],"two-dimensional":[139],"coordinates,":[140],"as":[141],"input":[143],"for":[144,267],"proposed":[146,177],"HPE":[148,175],"are":[150,164,259,264],"defined":[151],"in":[152,178,226],"three-dimensional":[154],"space.":[155],"flexion":[157,255],"varus-valgus":[159,257],"angles":[160,258],"computed":[165],"establishing":[167],"coordinate":[170],"eventually.":[172],"this":[179],"considers":[181],"both":[182],"spatial":[183,193,211],"temporal":[185,195,213],"information":[186],"correlation":[190],"between":[191],"dimensions":[196],"feature":[199,215],"map.":[200],"Subsequently,":[201],"dilated":[202],"convolution":[203],"extract":[207],"features":[208],"attention":[214],"maps,":[216],"realize":[218],"better":[220],"body":[225],"posture.":[228],"new":[230],"model":[231],"was":[232],"tested":[233],"on":[234],"Human3.6M":[236],"dataset":[237],"showed":[239],"that":[240],"mean":[242],"per":[243],"position":[245],"error":[246],"(MPJPE)":[247],"48.6mm,":[249],"errors":[252],"7.9\u00b0":[260],"12.7\u00b0,":[262],"acceptable":[265],"results":[266],"prediction":[270],"compared":[271],"placement":[275],"patient":[278]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
