| Autor: |
Juan V. Durá Gil, Alfredo Remon, Iván Martínez Rodriguez, Tomas Pariente-Lobo, Sergio Salmeron-Majadas, Antonio Perrone, Calina Ciuhu-Pijlman, Dmitry Znamenskiy, Konstantin Karavaev, Javier Ordono Codina, Laura Boura, Luísa Silva, Josep Redon, Jose Real, Pietro Cipresso |
| Rok vydání: |
2022 |
| Zdroj: |
Technologies and Applications for Big Data Value ISBN: 9783030783068 |
| DOI: |
10.1007/978-3-030-78307-5_11 |
| Popis: |
3D personal data is a type of data that contains useful information for product design, online sale services, medical research and patient follow-up.Currently, hospitals store and grow massive collections of 3D data that are not accessible by researchers, professionals or companies. About 2.7 petabytes a year are stored in the EU26.In parallel to the advances made in the healthcare sector, a new, low-cost 3D body-surface scanning technology has been developed for the goods consumer sector, namely, apparel, animation and art. It is estimated that currently one person is scanned every 15 min in the USA and Europe. And increasing.The 3D data of the healthcare sector can be used by designers and manufacturers of the consumer goods sector. At the same time, although 3D body-surface scanners have been developed primarily for the garment industry, 3D scanners’ low cost, non-invasive character and ease of use make them appealing for widespread clinical applications and large-scale epidemiological surveys.However, companies and professionals of the consumer goods sector cannot easily access the 3D data of the healthcare sector. And vice versa. Even exchanging information between data owners in the same sector is a big problem today. It is necessary to overcome problems related to data privacy and the processing of huge 3D datasets.To break these silos and foster the exchange of data between the two sectors, the BodyPass project has developed: (1) processes to harmonize 3D databases; (2) tools able to aggregate 3D data from different huge datasets; (3) tools for exchanging data and to assure anonymization and data protection (based on blockchain technology and distributed query engines); (4) services and visualization tools adapted to the necessities of the healthcare sector and the garment sector.These developments have been applied in practical cases by hospitals and companies of in the garment sector. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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