{"id":"https://openalex.org/W7126044003","doi":"https://doi.org/10.1007/978-3-032-15984-7_22","title":"Pose-Based Fall Detection Across Views: Boosting Generalization with\u00a0Synthetic Data and\u00a0Data Augmentation","display_name":"Pose-Based Fall Detection Across Views: Boosting Generalization with\u00a0Synthetic Data and\u00a0Data Augmentation","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7126044003","doi":"https://doi.org/10.1007/978-3-032-15984-7_22"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-15984-7_22","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-15984-7_22","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5108974425","display_name":"Eduardo Fa\u00e7anha Dutra","orcid":null},"institutions":[{"id":"https://openalex.org/I3125581668","display_name":"Universidade de Fortaleza","ror":"https://ror.org/02ynbzc81","country_code":"BR","type":"education","lineage":["https://openalex.org/I3125581668"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Eduardo Fa\u00e7anha Dutra","raw_affiliation_strings":["PPGIA & GIRA Lab, Universidade de Fortaleza (Unifor), Fortaleza, CE, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-0709-8886","affiliations":[{"raw_affiliation_string":"PPGIA & GIRA Lab, Universidade de Fortaleza (Unifor), Fortaleza, CE, Brazil","institution_ids":["https://openalex.org/I3125581668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124170100","display_name":"Arthur Cavalcante e Silva","orcid":null},"institutions":[{"id":"https://openalex.org/I3125581668","display_name":"Universidade de Fortaleza","ror":"https://ror.org/02ynbzc81","country_code":"BR","type":"education","lineage":["https://openalex.org/I3125581668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Arthur Cavalcante e Silva","raw_affiliation_strings":["PPGIA & GIRA Lab, Universidade de Fortaleza (Unifor), Fortaleza, CE, Brazil"],"raw_orcid":"https://orcid.org/0009-0005-7809-4224","affiliations":[{"raw_affiliation_string":"PPGIA & GIRA Lab, Universidade de Fortaleza (Unifor), Fortaleza, CE, Brazil","institution_ids":["https://openalex.org/I3125581668"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068783649","display_name":"Maria Andr\u00e9ia Formico Rodrigu\u00eas","orcid":"https://orcid.org/0000-0003-1181-2971"},"institutions":[{"id":"https://openalex.org/I3125581668","display_name":"Universidade de Fortaleza","ror":"https://ror.org/02ynbzc81","country_code":"BR","type":"education","lineage":["https://openalex.org/I3125581668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Maria Andr\u00e9ia Formico Rodrigues","raw_affiliation_strings":["PPGIA & GIRA Lab, Universidade de Fortaleza (Unifor), Fortaleza, CE, Brazil"],"raw_orcid":"https://orcid.org/0000-0003-1181-2971","affiliations":[{"raw_affiliation_string":"PPGIA & GIRA Lab, Universidade de Fortaleza (Unifor), Fortaleza, CE, Brazil","institution_ids":["https://openalex.org/I3125581668"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5108974425"],"corresponding_institution_ids":["https://openalex.org/I3125581668"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.47382753,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"315","last_page":"330"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.6521999835968018,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.6521999835968018,"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/T10789","display_name":"Interactive and Immersive Displays","score":0.03739999979734421,"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"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.03480000048875809,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.859000027179718},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7551000118255615},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.7434999942779541},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6773999929428101},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6444000005722046},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5426999926567078},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5292999744415283}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.859000027179718},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8398000001907349},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7551000118255615},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.7434999942779541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6877999901771545},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6773999929428101},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6444000005722046},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6092000007629395},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5426999926567078},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5292999744415283},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.34279999136924744},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.31150001287460327},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.2915000021457672},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2703000009059906},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25780001282691956}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-032-15984-7_22","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-15984-7_22","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2042568090","https://openalex.org/W2074099390","https://openalex.org/W2150797526","https://openalex.org/W2902643474","https://openalex.org/W2964134613","https://openalex.org/W3089073993","https://openalex.org/W3162177513","https://openalex.org/W4200164082","https://openalex.org/W4205502296","https://openalex.org/W4220982544","https://openalex.org/W4293812149","https://openalex.org/W4312769057","https://openalex.org/W4386952896","https://openalex.org/W4389146528","https://openalex.org/W4392157442","https://openalex.org/W4403794871"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-02-01T03:34:12.195049","created_date":"2026-01-30T00:00:00"}
