Abstract
A design protocol for customized swimming goggles by using a swimmer’s 3D facial scan data has been developed in our laboratories. Although the 3D scanner proved to be useful equipment to accurately capture a swimmer’s 3D facial data, high-accuracy 3D scanners are expensive tools which are not generally available to the public. The present study introduces a new method to capture a swimmer’s 3D facial data by using multiple 2D images that can be easily captured by a typical smartphone camera. In this study, two different cameras (GoPro and smartphone) are used to capture a swimmer’s facial data. Then, the effectiveness of the captured images to create a 3D image is compared. After creating a swimmer’s 3D facial image, customized swimming goggles are designed for that person in a CAD environment. Finally, an advanced 3D printing method is applied to create the swimming goggles with durable and flexible materials. The paper describes the detailed design protocol for customized swimming goggles from image capture to the final product.
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References
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Acknowledgments
This project was supported by a Research Enhancement Grant from Division of Research, Commercialization and Outreach at Texas A&M University-Corpus Christi. Prototyping was supported by the Department of Engineering Capstone Projects funds.
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Park, J. et al. (2019). Development of a Design Protocol for Customized Swimming Goggles Using 2D Facial Image Data. In: Rebelo, F., Soares, M. (eds) Advances in Ergonomics in Design. AHFE 2018. Advances in Intelligent Systems and Computing, vol 777. Springer, Cham. https://doi.org/10.1007/978-3-319-94706-8_17
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DOI: https://doi.org/10.1007/978-3-319-94706-8_17
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