The purpose of this research was to develop a repeatable scanning protocol for the 3D scanning of hands and feet for a large anthropometric study, minimize user error, increase speed and scanning efficiency, and develop best practices to enable collaboration across multiple scanning sites. This research consisted of testing different landmark placements and tools, and the development and testing of stability/scanning platforms for the hand and foot. Landmark placements were chosen based on anthropometric landmarks that will be helpful for future glove and boot design. Various landmark tools were tested using two different types of stickers (square and round) and washable markers. These landmarking tools were used independently and together to test the visibility with color enabled scanning. Platforms were created to allow for both the comfort of the subjects and clear scans for both the foot and hand. Two of these platforms had frames (one wooden and one metal) and Plexiglas, while one was completely made of Plexiglas. Testing each piece led us to create a repeatable scanning protocol for the 3D scanning of hands and feet for future anthropometric studies across multiple scanning sites.
|Original language||English (US)|
|Title of host publication||Advances in Interdisciplinary Practice in Industrial Design - Proceedings of the AHFE 2018 International Conference on Interdisciplinary Practice in Industrial Design, 2018|
|Editors||Cliff Sungsoo Shin, WonJoon Chung|
|Number of pages||10|
|State||Published - 2019|
|Event||AHFE International Conference on Interdisciplinary Practice in Industrial Design, 2018 - Orlando, United States|
Duration: Jul 21 2018 → Jul 25 2018
|Name||Advances in Intelligent Systems and Computing|
|Conference||AHFE International Conference on Interdisciplinary Practice in Industrial Design, 2018|
|Period||7/21/18 → 7/25/18|
Bibliographical noteFunding Information:
This research was partially supported by the Minnesota Agriculture Experiment Station.
© Springer International Publishing AG, part of Springer Nature 2019.
Copyright 2018 Elsevier B.V., All rights reserved.
- 3D scanner
- Anthropometric survey