3DPatBody: 3D dataset of human bodies of a patagonian population and their anthropometric measurements
Abstract The study of human body shape using classical anthropometric techniques is often problematic due to several error sources. Instead, 3D models and representations provide more accurate registrations, which are stable across acquisitions, and enable more precise, systematic, and fast measurin...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-12-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-04189-w |
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| author | Magda Alexandra Trujillo-Jiménez Leonardo Morales Bruno Pazos Virginia Ramallo Carolina Paschetta Soledad De Azevedo Anahí Ruderman Luis Orlando Pérez Tamara Teodoroff Claudio Delrieux Rolando González-José |
| author_facet | Magda Alexandra Trujillo-Jiménez Leonardo Morales Bruno Pazos Virginia Ramallo Carolina Paschetta Soledad De Azevedo Anahí Ruderman Luis Orlando Pérez Tamara Teodoroff Claudio Delrieux Rolando González-José |
| author_sort | Magda Alexandra Trujillo-Jiménez |
| collection | DOAJ |
| description | Abstract The study of human body shape using classical anthropometric techniques is often problematic due to several error sources. Instead, 3D models and representations provide more accurate registrations, which are stable across acquisitions, and enable more precise, systematic, and fast measuring capabilities. Thus, the same person can be scanned several times and precise differential measurements can be established in an accurate manner. Here we present 3DPatBody, a dataset including 3D body scans, with their corresponding 3D point clouds and anthropometric measurements, from a sample of a Patagonian population (female=211, male=87, other=1). The sample is of scientific interest since it is representative of a phenotype characterized by both its biomedical meaning as a descriptor of overweight and obesity, and its population-specific nature related to ancestry and/or local environmental factors. The acquired 3D models were used to compare shape variables against classical anthropometric data. The shape indicators proved to be accurate predictors of classical indices, also adding geometric characteristics that reflect more properly the shape of the body under study. |
| format | Article |
| id | doaj-art-2bfa3b81dc2340718567e4edd37521ca |
| institution | OA Journals |
| issn | 2052-4463 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-2bfa3b81dc2340718567e4edd37521ca2025-08-20T02:32:00ZengNature PortfolioScientific Data2052-44632024-12-011111810.1038/s41597-024-04189-w3DPatBody: 3D dataset of human bodies of a patagonian population and their anthropometric measurementsMagda Alexandra Trujillo-Jiménez0Leonardo Morales1Bruno Pazos2Virginia Ramallo3Carolina Paschetta4Soledad De Azevedo5Anahí Ruderman6Luis Orlando Pérez7Tamara Teodoroff8Claudio Delrieux9Rolando González-José10Laboratorio de Ciencias de las Imágenes, Departamento de Ingeniería Eléctrica y Computadoras, Universidad Nacional del Sur and CONICETLaboratorio de Ciencias de las Imágenes, Departamento de Ingeniería Eléctrica y Computadoras, Universidad Nacional del Sur and CONICETLaboratorio de Ciencias de las Imágenes, Departamento de Ingeniería Eléctrica y Computadoras, Universidad Nacional del Sur and CONICETInstituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICETInstituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICETInstituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICETInstituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICETInstituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICETInstituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICETLaboratorio de Ciencias de las Imágenes, Departamento de Ingeniería Eléctrica y Computadoras, Universidad Nacional del Sur and CONICETInstituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICETAbstract The study of human body shape using classical anthropometric techniques is often problematic due to several error sources. Instead, 3D models and representations provide more accurate registrations, which are stable across acquisitions, and enable more precise, systematic, and fast measuring capabilities. Thus, the same person can be scanned several times and precise differential measurements can be established in an accurate manner. Here we present 3DPatBody, a dataset including 3D body scans, with their corresponding 3D point clouds and anthropometric measurements, from a sample of a Patagonian population (female=211, male=87, other=1). The sample is of scientific interest since it is representative of a phenotype characterized by both its biomedical meaning as a descriptor of overweight and obesity, and its population-specific nature related to ancestry and/or local environmental factors. The acquired 3D models were used to compare shape variables against classical anthropometric data. The shape indicators proved to be accurate predictors of classical indices, also adding geometric characteristics that reflect more properly the shape of the body under study.https://doi.org/10.1038/s41597-024-04189-w |
| spellingShingle | Magda Alexandra Trujillo-Jiménez Leonardo Morales Bruno Pazos Virginia Ramallo Carolina Paschetta Soledad De Azevedo Anahí Ruderman Luis Orlando Pérez Tamara Teodoroff Claudio Delrieux Rolando González-José 3DPatBody: 3D dataset of human bodies of a patagonian population and their anthropometric measurements Scientific Data |
| title | 3DPatBody: 3D dataset of human bodies of a patagonian population and their anthropometric measurements |
| title_full | 3DPatBody: 3D dataset of human bodies of a patagonian population and their anthropometric measurements |
| title_fullStr | 3DPatBody: 3D dataset of human bodies of a patagonian population and their anthropometric measurements |
| title_full_unstemmed | 3DPatBody: 3D dataset of human bodies of a patagonian population and their anthropometric measurements |
| title_short | 3DPatBody: 3D dataset of human bodies of a patagonian population and their anthropometric measurements |
| title_sort | 3dpatbody 3d dataset of human bodies of a patagonian population and their anthropometric measurements |
| url | https://doi.org/10.1038/s41597-024-04189-w |
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