Research on custom-tailored swimming goggles applied to the internet

Custom-tailored designs have attracted increasing attention from both consumers and manufacturers due to increasingly intense market competition. We propose and verify a method for custom designing swimming goggles that is suitable for use on the Internet. Twenty-five points representing head features were first identified, and the relationship between these points and the size of the goggles were confirmed. The correct position for photography was then experimentally determined, and a camera-position corrector was designed and manufactured. A three-dimensional (3D) scanning model was divided into 18 planes based on the feature points, and the contour curve of the surface on each plane was extracted. Secondly a Hermite interpolation curve was then used to describe the contour curve for the head, and a parametric 3D head model was established. The method of using orthographic photographs with patches to obtain 3D data was summarized to determine the size of the user’s head, and a 3D model of the user’s head and the 3D model of the goggles were established. Lastly, we developed an algorithm for eliminating errors in the photographs. We also produced an operational flowchart for an application (APP) following the research approaches and then determined the page structure of the APP based on the flowchart to verify the validity of our proposed method and ultimately to establish an APP for interactively designing swimming goggles. The entire APP operation process was completed using a volunteer as an experimental subject when a model for custom-tailored goggles was obtained. The model was then processed and applied using 3D printing. The volunteer confirmed the model by declaring that the goggles were comfortable to wear and perfectly positioned on his face, thereby verifying the validity of the method.

[1]  Brachycephalic , 2021, Encyclopedic Dictionary of Archaeology.

[2]  Hujun Bao,et al.  Dynamic human body reconstruction and motion tracking with low-cost depth cameras , 2020, The Visual Computer.

[3]  Lina Zhang,et al.  Segmentation of tomato leaf images based on adaptive clustering number of K-means algorithm , 2019, Comput. Electron. Agric..

[4]  Yan Luximon,et al.  Scan and Print: A Digital Design Method for Wearable Products , 2019, Ergonomics in Design: The Quarterly of Human Factors Applications.

[5]  Juncheng Li A class of quintic Hermite interpolation curve and the free parameters selection , 2019, Journal of Advanced Mechanical Design, Systems, and Manufacturing.

[6]  Rocco Furferi,et al.  A practical methodology for computer-aided design of custom 3D printable casts for wrist fractures , 2020, The Visual Computer.

[7]  Runliang Dou,et al.  A method for product personalized design based on prospect theory improved with interval reference , 2018, Comput. Ind. Eng..

[8]  Zhu Gao,et al.  Anthropometry and classification of auricular concha for the ergonomic design of earphones , 2018 .

[9]  Helmy Mustafa,et al.  A design framework for the mass customisation of custom-fit bicycle helmet models , 2018 .

[10]  Chulwoo Kim,et al.  A 3D anthropometric sizing analysis system based on North American CAESAR 3D scan data for design of head wearable products , 2018, Comput. Ind. Eng..

[11]  Chih-Hsing Chu,et al.  3D parametric human face modeling for personalized product design: Eyeglasses frame design case , 2017, Adv. Eng. Informatics.

[12]  Zhaohuan Zhu,et al.  A Morphometric Study of Auricular Concha in the Population of Young Chinese Adults , 2017 .

[13]  Susan M. Astley,et al.  Evaluation of Kinect 3D Sensor for Healthcare Imaging , 2016, Journal of medical and biological engineering.

[14]  Francesc Moreno-Noguer,et al.  Real-time 3D reconstruction of non-rigid shapes with a single moving camera , 2016, Comput. Vis. Image Underst..

[15]  Chen-Fu Chien,et al.  UNISON framework of data-driven innovation for extracting user experience of product design of wearable devices , 2016, Comput. Ind. Eng..

[16]  Yuanping Xu,et al.  An integrated solution—KAGFM for mass customization in customer-oriented product design under cloud manufacturing environment , 2016 .

[17]  Elise Lachat,et al.  Assessment and Calibration of a RGB-D Camera (Kinect v2 Sensor) Towards a Potential Use for Close-Range 3D Modeling , 2015, Remote. Sens..

[18]  Helmy Mustafa,et al.  3D anthropometric investigation of head and face characteristics of Australian cyclists , 2015 .

[19]  Jihun Park,et al.  Improvement on Zhang's Camera Calibration , 2013 .

[20]  C. Quintão,et al.  Brachycephalic, dolichocephalic and mesocephalic: Is it appropriate to describe the face using skull patterns? , 2013, Dental press journal of orthodontics.

[21]  Dong-Ming Yan,et al.  Variational mesh segmentation via quadric surface fitting , 2012, Comput. Aided Des..

[22]  Ligang Liu,et al.  Scanning 3D Full Human Bodies Using Kinects , 2012, IEEE Transactions on Visualization and Computer Graphics.

[23]  Yan Luximon,et al.  The 3D Chinese head and face modeling , 2012, Comput. Aided Des..

[24]  Chih-Hsing Chu,et al.  Human-centric design personalization of 3D glasses frame in markerless augmented reality , 2012, Adv. Eng. Informatics.

[25]  Roger Ball,et al.  SizeChina: A 3D Anthropometric Survey of the Chinese Head , 2011 .

[26]  M. Rioux,et al.  A comparison between Chinese and Caucasian head shapes. , 2010, Applied ergonomics.

[27]  Kyoung-Yun Kim,et al.  Facial configuration and BMI based personalized face and upper body modeling for customer-oriented wearable product design , 2010, Comput. Ind..

[28]  Gavriel Salvendy,et al.  Multi-resolution description of three-dimensional anthropometric data for design simplification. , 2009, Applied ergonomics.

[29]  Hyun-Ja Lee,et al.  Comparison of Korean and Japanese Head and Face Anthropometric Characteristics , 2008, Human biology.

[30]  George Q. Huang,et al.  Networked Manufacturing and Mass Customization in the ECommerce Era: the Chinese Perspective , 2007, Int. J. Comput. Integr. Manuf..

[31]  Kathleen M Robinette,et al.  Precision of the CAESAR scan-extracted measurements. , 2006, Applied ergonomics.

[32]  Ali A. Yassine,et al.  Investigating the role of IT in customized product design , 2004 .

[33]  M. Kouchi Secular changes in the Japanese head form viewed from somatometric data , 2004 .

[34]  Mao-Jiun J. Wang,et al.  The comparisons of anthropometric characteristics among four peoples in East Asia. , 2004, Applied ergonomics.

[35]  Mark Boehmer,et al.  3-D landmark detection and identification in the CAESAR project , 2001, Proceedings Third International Conference on 3-D Digital Imaging and Modeling.

[36]  Kathleen M. Robinette,et al.  The CAESAR project: a 3-D surface anthropometry survey , 1999, Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062).