{"id":"https://openalex.org/W7167819829","doi":"https://doi.org/10.55056/ceur-ws.org/vol-4049/s_15_krak.pdf","title":"Approach for Postural Disorders Recognizing from Visual Data Using Deep Neural Network","display_name":"Approach for Postural Disorders Recognizing from Visual Data Using Deep Neural Network","publication_year":2025,"publication_date":"2025-10-04","ids":{"openalex":"https://openalex.org/W7167819829","doi":"https://doi.org/10.55056/ceur-ws.org/vol-4049/s_15_krak.pdf"},"language":"en","primary_location":{"id":"doi:10.55056/ceur-ws.org/vol-4049/s_15_krak.pdf","doi":"https://doi.org/10.55056/ceur-ws.org/vol-4049/s_15_krak.pdf","is_oa":true,"landing_page_url":"https://doi.org/10.55056/ceur-ws.org/vol-4049/s_15_krak.pdf","pdf_url":"https://doi.org/10.55056/ceur-ws.org/vol-4049/s_15_krak.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CEUR Workshop Proceedings, Vol-4049: Proceedings of the Workshop on Intelligent Information Technologies (UkrProg-IIT 2025)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.55056/ceur-ws.org/vol-4049/s_15_krak.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000942164","display_name":"Iurii V. Krak","orcid":"https://orcid.org/0000-0002-8043-0785","observed_orcids":["https://orcid.org/0000-0002-8043-0785"]},"institutions":[{"id":"https://openalex.org/I189238007","display_name":"Taras Shevchenko National University of Kyiv","ror":"https://ror.org/02aaqv166","country_code":"UA","type":"education","lineage":["https://openalex.org/I189238007"]},{"id":"https://openalex.org/I4210156878","display_name":"V.M. Glushkov Institute of Cybernetics","ror":"https://ror.org/05xmg2z40","country_code":"UA","type":"facility","lineage":["https://openalex.org/I149851306","https://openalex.org/I4210156878"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Iurii Krak","raw_affiliation_strings":["Glushkov Institute of Cybernetics of NAS of Ukraine , Kyiv , Ukraine","Taras Shevchenko National University of Kyiv , Ukraine"],"raw_orcid":"https://orcid.org/0000-0002-8043-0785","affiliations":[{"raw_affiliation_string":"Glushkov Institute of Cybernetics of NAS of Ukraine , Kyiv , Ukraine","institution_ids":["https://openalex.org/I4210156878"]},{"raw_affiliation_string":"Taras Shevchenko National University of Kyiv , Ukraine","institution_ids":["https://openalex.org/I189238007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010850491","display_name":"Olexander V. Mazurets","orcid":"https://orcid.org/0000-0002-8900-0650","observed_orcids":["https://orcid.org/0000-0002-8900-0650"]},"institutions":[{"id":"https://openalex.org/I164756455","display_name":"Khmelnytskyi National University","ror":"https://ror.org/04r8a1r80","country_code":"UA","type":"education","lineage":["https://openalex.org/I164756455"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Olexander Mazurets","raw_affiliation_strings":["Khmelnytskyi National University , Khmelnytskyi , Ukraine"],"raw_orcid":"https://orcid.org/0000-0002-8900-0650","affiliations":[{"raw_affiliation_string":"Khmelnytskyi National University , Khmelnytskyi , Ukraine","institution_ids":["https://openalex.org/I164756455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114349246","display_name":"\u041e\u041b\u042c\u0413\u0410 \u0417\u0410\u041b\u0423\u0426\u042c\u041a\u0410","orcid":"https://orcid.org/0000-0003-1242-3548","observed_orcids":["https://orcid.org/0000-0003-1242-3548"]},"institutions":[{"id":"https://openalex.org/I164756455","display_name":"Khmelnytskyi National University","ror":"https://ror.org/04r8a1r80","country_code":"UA","type":"education","lineage":["https://openalex.org/I164756455"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Olha Zalutska","raw_affiliation_strings":["Khmelnytskyi National University , Khmelnytskyi , Ukraine"],"raw_orcid":"https://orcid.org/0000-0003-1242-3548","affiliations":[{"raw_affiliation_string":"Khmelnytskyi National University , Khmelnytskyi , Ukraine","institution_ids":["https://openalex.org/I164756455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060967919","display_name":"Maryna O. Molchanova","orcid":"https://orcid.org/0000-0001-9810-936X","observed_orcids":["https://orcid.org/0000-0001-9810-936X"]},"institutions":[{"id":"https://openalex.org/I164756455","display_name":"Khmelnytskyi National University","ror":"https://ror.org/04r8a1r80","country_code":"UA","type":"education","lineage":["https://openalex.org/I164756455"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Maryna Molchanova","raw_affiliation_strings":["Khmelnytskyi National University , Khmelnytskyi , Ukraine"],"raw_orcid":"https://orcid.org/0000-0001-9810-936X","affiliations":[{"raw_affiliation_string":"Khmelnytskyi National University , Khmelnytskyi , Ukraine","institution_ids":["https://openalex.org/I164756455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057182685","display_name":"Olexander Barmak","orcid":"https://orcid.org/0000-0003-0739-9678","observed_orcids":["https://orcid.org/0000-0003-0739-9678"]},"institutions":[{"id":"https://openalex.org/I164756455","display_name":"Khmelnytskyi National University","ror":"https://ror.org/04r8a1r80","country_code":"UA","type":"education","lineage":["https://openalex.org/I164756455"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Olexander Barmak","raw_affiliation_strings":["Khmelnytskyi National University , Khmelnytskyi , Ukraine"],"raw_orcid":"https://orcid.org/0000-0003-0739-9678","affiliations":[{"raw_affiliation_string":"Khmelnytskyi National University , Khmelnytskyi , Ukraine","institution_ids":["https://openalex.org/I164756455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"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":"244","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":0.6747999787330627,"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":0.6747999787330627,"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/T11030","display_name":"Scoliosis diagnosis and treatment","score":0.24300000071525574,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T12006","display_name":"Ergonomics and Musculoskeletal Disorders","score":0.04960000142455101,"subfield":{"id":"https://openalex.org/subfields/3307","display_name":"Human Factors and Ergonomics"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/postural-disorders","display_name":"postural disorders","score":0.8989999890327454},{"id":"https://openalex.org/keywords/postural-assessment","display_name":"postural assessment","score":0.625},{"id":"https://openalex.org/keywords/spinal-curvature","display_name":"spinal curvature","score":0.8700000047683716},{"id":"https://openalex.org/keywords/anatomical-landmarks","display_name":"anatomical landmarks","score":0.8610000014305115},{"id":"https://openalex.org/keywords/keypoint-detection","display_name":"keypoint detection","score":0.6660000085830688},{"id":"https://openalex.org/keywords/hyperlordosis","display_name":"hyperlordosis","score":0.8489999771118164},{"id":"https://openalex.org/keywords/hyperkyphosis","display_name":"hyperkyphosis","score":0.9959999918937683},{"id":"https://openalex.org/keywords/scoliosis","display_name":"scoliosis","score":0.9990000128746033},{"id":"https://openalex.org/keywords/threshold-based-classification","display_name":"threshold-based classification","score":0.7450000047683716},{"id":"https://openalex.org/keywords/explainable-ai","display_name":"explainable AI","score":0.6029999852180481},{"id":"https://openalex.org/keywords/computer-vision","display_name":"computer vision","score":0.6079999804496765}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7412999868392944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6826000213623047},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6797000169754028},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5160999894142151},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5105999708175659},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4828999936580658},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4537000060081482},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.40700000524520874},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.3874000012874603},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37450000643730164},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.374099999666214},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37299999594688416},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.3635999858379364},{"id":"https://openalex.org/C14669888","wikidata":"https://www.wikidata.org/wiki/Q4014850","display_name":"Creative visualization","level":3,"score":0.3327000141143799},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.3325999975204468},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3012000024318695},{"id":"https://openalex.org/C194226119","wikidata":"https://www.wikidata.org/wiki/Q161779","display_name":"Spatial reference system","level":2,"score":0.296099990606308},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.2549000084400177},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.2540000081062317},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.55056/ceur-ws.org/vol-4049/s_15_krak.pdf","doi":"https://doi.org/10.55056/ceur-ws.org/vol-4049/s_15_krak.pdf","is_oa":true,"landing_page_url":"https://doi.org/10.55056/ceur-ws.org/vol-4049/s_15_krak.pdf","pdf_url":"https://doi.org/10.55056/ceur-ws.org/vol-4049/s_15_krak.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CEUR Workshop Proceedings, Vol-4049: Proceedings of the Workshop on Intelligent Information Technologies (UkrProg-IIT 2025)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.55056/ceur-ws.org/vol-4049/s_15_krak.pdf","doi":"https://doi.org/10.55056/ceur-ws.org/vol-4049/s_15_krak.pdf","is_oa":true,"landing_page_url":"https://doi.org/10.55056/ceur-ws.org/vol-4049/s_15_krak.pdf","pdf_url":"https://doi.org/10.55056/ceur-ws.org/vol-4049/s_15_krak.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CEUR Workshop Proceedings, Vol-4049: Proceedings of the Workshop on Intelligent Information Technologies (UkrProg-IIT 2025)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7167819829.pdf","grobid_xml":"https://content.openalex.org/works/W7167819829.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W2891553967","https://openalex.org/W3110539666","https://openalex.org/W3136322089","https://openalex.org/W4205546349","https://openalex.org/W4295847337","https://openalex.org/W4383619745","https://openalex.org/W4390341859","https://openalex.org/W4391972301","https://openalex.org/W4392741075","https://openalex.org/W4393149992","https://openalex.org/W4393990792","https://openalex.org/W4394001297","https://openalex.org/W4394593114","https://openalex.org/W4394597906","https://openalex.org/W4396666700","https://openalex.org/W4399166356","https://openalex.org/W4399666308","https://openalex.org/W4400189132","https://openalex.org/W4401853819","https://openalex.org/W4402215482","https://openalex.org/W4403609295","https://openalex.org/W4404324907","https://openalex.org/W4404788812","https://openalex.org/W4406081037","https://openalex.org/W4406705594","https://openalex.org/W4407227747","https://openalex.org/W4408921325","https://openalex.org/W7166393257"],"related_works":["https://openalex.org/W4388571482","https://openalex.org/W4411011715","https://openalex.org/W7128360618","https://openalex.org/W4392080908","https://openalex.org/W3092380602","https://openalex.org/W2922159377","https://openalex.org/W7124417234","https://openalex.org/W4226182210","https://openalex.org/W4362735525","https://openalex.org/W3195952812"],"abstract_inverted_index":{"In":[0],"paper":[1],"proposed":[2,203],"approach":[3],"to":[4,149,195,219,223],"recognizing":[5,79],"postural":[6,80],"disorders":[7,81,263],"from":[8,53,82,122],"visual":[9,83,208],"data":[10,84,209],"based":[11,206],"on":[12,207],"analysis":[13,88,140,171,210,282],"of":[14,18,40,44,61,89,93,104,180,182,234,240,257,261,275,281],"anatomical":[15,91],"landmarks":[16,92],"coordinates":[17,103],"spine,":[19,95],"determined":[20,96],"using":[21,97,246],"deep":[22,98],"learning":[23],"neural":[24,99],"network.":[25,100],"The":[26,46,76,136,157,202,254],"quantitative":[27],"model":[28,74],"for":[29,71,78,87,168,175],"assessing":[30],"spinal":[31],"curvature":[32,118],"is":[33,85,159,205,264],"proposed,":[34],"which":[35,125,145,236],"provides":[36,188],"an":[37,231],"interpreted":[38],"representation":[39],"the":[41,54,57,69,73,94,102,113,116,123,163,166,173,176,196,221,227,238,242,259,267],"spatial":[42],"characteristics":[43],"posture.":[45],"calculated":[47],"angular":[48],"values":[49],"allow":[50],"identifying":[51,127],"deviations":[52,121],"norm":[55],"in":[56,152,273],"spine":[58,117],"geometry.":[59],"Visualization":[60],"key":[62,90,105],"points":[63,106],"and":[64,110,119,172,178,199,211,225,249,283],"their":[65],"mutual":[66],"position":[67],"form":[68],"basis":[70],"explaining":[72],"solutions.":[75],"method":[77,114,137,204,269],"developed":[86,268],"Using":[101],"(cervical,":[107],"thoracic,":[108],"lumbar":[109],"sacral":[111],"spine),":[112],"assesses":[115],"determines":[120],"norm,":[124],"allows":[126,218],"pathological":[128],"changes,":[129],"such":[130],"as":[131],"hyperlordosis,":[132],"hyperkyphosis":[133],"or":[134],"scoliosis.":[135],"integrates":[138],"geometric":[139],"with":[141,270],"threshold-based":[142],"classification":[143],"procedure,":[144],"makes":[146],"it":[147,151],"possible":[148],"apply":[150],"automated":[153],"posture":[154,170,262],"control":[155],"tasks.":[156],"research":[158],"aimed":[160],"at":[161,226],"resolving":[162],"contradiction":[164,244],"between":[165],"need":[167],"accurate":[169],"requirements":[174],"availability":[177],"ease":[179],"use":[181],"appropriate":[183],"technological":[184],"solutions:":[185],"traditional":[186],"hardware":[187],"high":[189,197],"accuracy,":[190],"but":[191],"limits":[192],"scalability":[193],"due":[194],"cost":[198],"operation":[200],"complexity.":[201],"does":[212],"not":[213],"require":[214],"specialized":[215],"equipment.":[216],"This":[217],"reduce":[220],"barriers":[222],"implementation":[224],"same":[228],"time":[229],"provide":[230],"interpretable":[232],"assessment":[233],"posture,":[235],"demonstrates":[237],"possibility":[239],"eliminating":[241],"specified":[243],"by":[245,266],"computer":[247],"vision":[248],"explanatory":[250],"artificial":[251],"intelligence":[252],"models.":[253],"general":[255],"problem":[256],"determining":[258],"presence":[260],"solved":[265],"Accuracy":[271],"0.86,":[272],"conditions":[274],"different":[276],"image":[277],"quality,":[278],"two-dimensional":[279],"nature":[280],"fixed":[284],"body":[285],"orientation.":[286]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-07-10T00:00:00"}