Anthropometric personal data is a type of data that contains useful information for product design, online sale services, medical and psychological research and patient follow-up. Currently hospitals store and grow massive collections of anthropometric data: CT, PET, MRI, etc. In parallel to the advances made in the health sector, new 3D body-surface scanning technology has been developed for the consumer goods sector, namely apparel, animation and art. Moreover, new low-cost scanning technologies are expected to exponentially increase 3D data creation. Advances made in the past few years in depth sensing technologies have made it possible to create 3D scanners models on tablets, and smartphones.
However, connect and make compatible the anthropometric 3D data information from different databases is still a technical problem, and the personal privacy should be considered. This Research Topic aims to provide an overview of the current state-of-the-art, as well as new approaches and technologies to anonymize, exchange and analyze anthropometric 3D data.
In this Research Topic, original research articles, reviews, and perspectives are welcome from multiple disciplines. Research areas may include (but not limited to) the following:
- Technologies and methodologies to anonymize anthropometric data.
- Technologies and methodologies to exchange and make compatible information from different databases.
- Applications of anthropometric data in health or product design.
- New approaches to analyze/explore anthropometric data in allocentric and egocentric perspective among community and clinical sample.
- New approaches to analysis of anthropometric data in a specific population group.
- Interconnections between psychology and anthropometric.
Disclaimer: This Research Topic is coordinated by the BodyPass project (API-ecosystem for cross-sectorial exchange of 3D personal data), funded by the European Union’s Horizon 2020 program for research and innovation under grant agreement number 779780. For more information: www.bodypass.eu
Anthropometric personal data is a type of data that contains useful information for product design, online sale services, medical and psychological research and patient follow-up. Currently hospitals store and grow massive collections of anthropometric data: CT, PET, MRI, etc. In parallel to the advances made in the health sector, new 3D body-surface scanning technology has been developed for the consumer goods sector, namely apparel, animation and art. Moreover, new low-cost scanning technologies are expected to exponentially increase 3D data creation. Advances made in the past few years in depth sensing technologies have made it possible to create 3D scanners models on tablets, and smartphones.
However, connect and make compatible the anthropometric 3D data information from different databases is still a technical problem, and the personal privacy should be considered. This Research Topic aims to provide an overview of the current state-of-the-art, as well as new approaches and technologies to anonymize, exchange and analyze anthropometric 3D data.
In this Research Topic, original research articles, reviews, and perspectives are welcome from multiple disciplines. Research areas may include (but not limited to) the following:
- Technologies and methodologies to anonymize anthropometric data.
- Technologies and methodologies to exchange and make compatible information from different databases.
- Applications of anthropometric data in health or product design.
- New approaches to analyze/explore anthropometric data in allocentric and egocentric perspective among community and clinical sample.
- New approaches to analysis of anthropometric data in a specific population group.
- Interconnections between psychology and anthropometric.
Disclaimer: This Research Topic is coordinated by the BodyPass project (API-ecosystem for cross-sectorial exchange of 3D personal data), funded by the European Union’s Horizon 2020 program for research and innovation under grant agreement number 779780. For more information: www.bodypass.eu
