Abstract
Facial anthropometry plays an important role in ergonomic applications. Most ergonomically-designed products depend on stable and accurate human body measurement data. Head and facial anthropometric dimensions provide detailed information on head and facial surfaces to develop well-fitting, comfortable and functionally-effective facial masks, helmets or customized products. Accurate head and facial anthropometry also allows orthognathic surgeons and orthodontists to plan optimal treatments for patients. Our research uses an automatic, geometry-based facial feature extraction method to identify head and facial features, which can be used to develop a highly-accurate feature-based head model. In total, we have automatically located 17 digital length measurements and 5 digital tape measurements on the head and face. Compared to manual length-measurement, the average error, maximum error and standard deviations are 1.70mm, 5.63mm and 1.47mm, respectively, for intra-measurement, and 2.07mm, 5.63mm and 1.44mm, respectively, for inter-measurement. Compared to manual tape-measurement, the average maximum error and standard deviations are 1.52mm, 3.00mm and 0.96mm, respectively, for intra-measurement, and 2.74mm, 5.30mm and 1.79mm, respectively, for inter-measurement. Nearly all of length measurement data and tape measurement data meet the 5mm measuring error standard.
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Li, J.C., Lin, Y.H., Yang, Y.X., Chen, C.Y.: A Study of Safety Helmet Size in Relation to Size Classification in Taiwan’s Worker Craniofacial Database. Journal of Occupational Safety and Health 14, 48–57 (2006)
Liu, H., Li, Z., Zheng, L.: Rapid Preliminary Helmet Shell Design Based on Three-Dimensional Anthropometric Head Data. Journal of Engineering Design 19, 45–54 (2008)
Human Solutions of North America Inc., http://www.human-solutions.com/
Cyberware Inc., http://www.cyberware.com/
Vitronic Machine Vision Ltd., http://www.vitronic.de/
Textile/Clothing Technology Corp., http://www.tc2.com/
Fang, S.-Y., Fang, J.-J.: A Geometric Features Preserving Method for Facial Reconstruction. In: Conference A Geometric Features Preserving Method for Facial Reconstruction
Koenen, R.: Overview of the MPEG-4 Standard. ISO/IEC JTC1/SC29/WG11 N4030 (2001)
Robinette, K.M., Daanen, H., Paquet, E.: The CAESAR Project: a 3-D Surface Anthropometry Survey. In: Proceeding of IEEE 2nd International Conference on 3-D Digital Imaging and Modeling, Ottawa, Ont., Canada, pp. 380–386 (1999)
Taiwan Human Body Bank, http://3d.cgu.edu.tw/
Enciso, R., Alexandroni, E.S., Benyamein, K., Keim, R.A., Mah, J.: Precision, Repeatability and Validation of Indirect 3D Anthropometric Measurements with Light-based Imaging Techniques. In: IEEE Internation Symposium on Biomedical Imaging: Nano to Macro, vol. 2, pp. 1119–1122 (2004)
Bailar, J.C., Meyer, E.A., Pool, R.: Assessment of the NIOSH Head-and-Face Anthropometric Survey of U.S. Respirator Users. National Academies Press, Washington (2007)
Shiang, T.Y.: A Statistical Approach to Data Analysis and 3-D Geometric Description of Human Head and Face. Proc. Natl. Sci. Counc. Rep. China Pt. B Life Sci. 23, 19–26 (1999)
Yang, L., Shen, H.: A Pilot Study on Facial Anthropometric Dimensions of the Chinese Population for Half-Mask Respirator Design and Sizing. International Journal of Industrial Ergonomics 38, 921–926 (2008)
Yokota, M.: Head and Facial Anthropometry of Mixed-race US Army Male Soldiers for Military Design and Sizing: A Pilot Study. Applied Ergonomics 36, 379–383 (2005)
Kim, H., Han, D.H., Roh, Y.M., Kim, K., Park, Y.G.: Facial Anthropometric Dimensions of Koreans and Their Associations with Fit of Quarter-Mask Respirators. Industrial Health 41, 8–18 (2003)
Zhuang, Z., Bradtmiller, B.: Head-and-Face Anthropometric Survey of U.S. Respirator Users. Journal of Occupational and Environmental Hygiene 2, 567–576 (2005)
Kim, K., Kim, H.: Three-Dimensional Shape Analysis of Commercial Half-Facepiece Respirators for Koreans: Structure Approach. Journal of the International Society for Respiraotry Protection 23, 89–99 (2006)
Roberge, R.J., Zhuang, Z., Stein, L.M.: Association of Body Mass Index with Facial Dimensions for Defining Respirator Fit Test Panels. Journal of the International Society for Respiratory Protection 23, 44–52 (2006)
Du, L., Zhuang, Z., Guan, H., Xing, J., Tang, X., Wang, L., Wang, Z., Wang, H., Liu, Y., Su, W., Benson, S., Gallagher, S., Viscusi, D., Chen, W.: Head-and-Face Anthropometric Survey of Chinese Workers. Annals of Occupational Hygiene 52, 773–782 (2008)
Fang, S.-Y., Fang, J.-J.: Automatic Head and Facial Features Extraction Based on Geometry Variations. In: Computer Aided Design (2010)
Leong, I.-F., Fang, J.-J., Tsai, M.-J.: A Feature-based Anthropometry for Garment Industry. International Journal of Clothing Science and Technology
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Fang, JJ., Fang, SY. (2011). An Automatic Method for Computerized Head and Facial Anthropometry. In: Duffy, V.G. (eds) Digital Human Modeling. ICDHM 2011. Lecture Notes in Computer Science, vol 6777. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21799-9_2
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DOI: https://doi.org/10.1007/978-3-642-21799-9_2
Publisher Name: Springer, Berlin, Heidelberg
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