Academic literature on the topic 'Digital Anthropometry'
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Journal articles on the topic "Digital Anthropometry"
Jayaratne, Yasas S. N., and Roger A. Zwahlen. "Application of Digital Anthropometry for Craniofacial Assessment." Craniomaxillofacial Trauma & Reconstruction 7, no. 2 (June 2014): 101–7. http://dx.doi.org/10.1055/s-0034-1371540.
Full textWong, Julielynn Y., Albert K. Oh, Eiichi Ohta, Anne T. Hunt, Gary F. Rogers, John B. Mulliken, and Curtis K. Deutsch. "Validity and Reliability of Craniofacial Anthropometric Measurement of 3D Digital Photogrammetric Images." Cleft Palate-Craniofacial Journal 45, no. 3 (May 2008): 232–39. http://dx.doi.org/10.1597/06-175.
Full textKukharev, G. A., and N. Kaziyeva. "Application of digital facial anthropometry." Scientific and Technical Journal of Information Technologies, Mechanics and Optics 19, no. 2 (April 1, 2019): 255–70. http://dx.doi.org/10.17586/2226-1494-2019-19-2-255-270.
Full textHeymsfield, Steven B., Brianna Bourgeois, Bennett K. Ng, Markus J. Sommer, Xin Li, and John A. Shepherd. "Digital anthropometry: a critical review." European Journal of Clinical Nutrition 72, no. 5 (May 2018): 680–87. http://dx.doi.org/10.1038/s41430-018-0145-7.
Full textBonilla, Diego A. "Artificial Intelligence Applications in Digital Anthropometry <sup><a class="tippyShow" data-tippy-arrow="true"data-tippy-content="Presented as a keynote at the 'I Congreso Iberoamericano de Antropometría Aplicada' organized by the 'Red Iberoamericana de Investigadores en Antropometría Aplicada'." data-tippy-interactive="true"data-tippy-theme="light-border"style="cursor:pointer">1</a></sup>." OBM Integrative and Complementary Medicine 07, no. 04 (December 26, 2022): 1–4. http://dx.doi.org/10.21926/obm.icm.2204056.
Full textSharma, Neelesh Kumar, Sachin Rana, Pravesh Kushwaha, and Yatika Gori. "Recent Advancements in Contactless Anthropometry." International Journal of Materials Manufacturing and Sustainable Technologies 1, no. 2 (December 30, 2022): 1–9. http://dx.doi.org/10.56896/ijmmst.2022.1.2.007.
Full textWeinberg, Seth M., Nicole M. Scott, Katherine Neiswanger, Carla A. Brandon, and Mary L. Marazita. "Digital Three-Dimensional Photogrammetry: Evaluation of Anthropometric Precision and Accuracy Using a Genex 3D Camera System." Cleft Palate-Craniofacial Journal 41, no. 5 (September 2004): 507–18. http://dx.doi.org/10.1597/03-066.1.
Full textKukharev, G. A., and N. Kaziyeva. "Digital Facial Anthropometry: Application and Implementation." Pattern Recognition and Image Analysis 30, no. 3 (July 2020): 496–511. http://dx.doi.org/10.1134/s1054661820030141.
Full textPratama, Fandy Surya, Istianah Muslim, and Muhammad Ihsan Zul. "Digitalization of Human Head Anthropometry Measurement Using Pixels Measurement Method." IJITEE (International Journal of Information Technology and Electrical Engineering) 2, no. 3 (February 20, 2019): 63. http://dx.doi.org/10.22146/ijitee.43698.
Full textLi, Zhouxiao, Yimin Liang, Thilo Ludwig Schenck, Konstantin Frank, Riccardo Enzo Giunta, and Konstantin Christoph Koban. "Investigating the Reliability of Novel Nasal Anthropometry Using Advanced Three-Dimensional Digital Stereophotogrammetry." Journal of Personalized Medicine 12, no. 1 (January 6, 2022): 60. http://dx.doi.org/10.3390/jpm12010060.
Full textDissertations / Theses on the topic "Digital Anthropometry"
Aquino, Cleiton Paiva. "Avaliação do comportamento dos pontos fiduciais faciais durante o envelhecimento humano." Universidade Federal de Goiás, 2017. http://repositorio.bc.ufg.br/tede/handle/tede/7277.
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Facial aging is known as a complex process that varies the shape and texture of thefacial area. Variations in shape include variation in craniofacial structure, while texture variation includes skin coloration, appearance of facial lines and wrinkles. Shape and texture are both considered the most common forms of facial aging patterns. Fiducial points are control points on an object that define characteristic regions with properties of interest to the application. Thus, the objective of this work is to evaluate the behavior offacial fiducial points during human aging. An evaluation was performed in a statistical manner and through classification, through the characteristics vectors obtained throughfacial fiducial points. For the accomplishment of this work, we had a social motivation,that is the aid in the search for missing persons, and another one of technical character,that is the perfection of facial recognition systems. Among the results we can highlight the behavior of increase, reduction and stabilization among some fiducial points. With regard to classification, we obtained a result of 84.29 % of correct answers when we compared the class with people under 20 years old and the class with people between 20 and 39 years old from the black men’s groups
O envelhecimento facial é conhecido como um complexo processo que varia a forma ea textura da área facial. Variações na forma incluem variação na estrutura craniofacial, enquanto a variação na textura inclui coloração da pele, aparecimento de linhas faciais e rugas. A forma e a textura são ambas consideradas as formas mais comuns de padrões de envelhecimento facial. Já os pontos fiduciais são pontos de controle sobre um objeto que definem regiões características com propriedades de interesse à aplicação. Assim, o objetivo deste trabalho é avaliar o comportamento dos pontos fiduciais faciais durante o envelhecimento humano. Foi realizada uma avaliação de forma estatística e por meio de classificação, através dos vetores de características obtidos através dos pontos fiduciaisfaciais. Para a realização deste trabalho, tivemos uma motivação de cunho social, queé o auxílio na busca por pessoas desaparecidas, e outra de cunho técnico, que é o aperfeiçoamento de sistemas de reconhecimento facial. Dentre os resultados podemos salientar o comportamento de aumento, redução e estabilização entre alguns pontos fiduciais. No tocante a classificação chegamos a obter um resultado de 84,29% de acertos quando comparamos a classe com pessoas menores de 20 anos e a classe com pessoas entre 20 e 39 anos do grupos de homens negros.
Brolin, Erik. "Anthropometric diversity and consideration of human capabilities : Methods for virtual product and production development." Doctoral thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-12248.
Full textKullberg, Joel. "Assessment of Body Composition Using Magnetic Resonance Imaging." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-7739.
Full textAlayan, Ibrahim Abead. "Anthropometric analysis of maxillofacial foramina in skulls of four human populations using electronic calliper and 3D laser scanning methods." Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/9535.
Full textBadawi, Hawazin Faiz. "DT-DNA: Devising a DNA Paradigm for Modeling Health Digital Twins." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/41906.
Full textPayne, Stephanie. "Phenotypic variation and thermoregulation of the human hand." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/285561.
Full textNishibe, Caio Arce. "Central de confrontos para um sistema automático de identificação biométrica: uma abordagem de implementação escalável." Universidade Tecnológica Federal do Paraná, 2017. http://repositorio.utfpr.edu.br/jspui/handle/1/3142.
Full textWith the popularization of biometrics, personal identification is an increasingly common activity in several contexts: physical and logical access control, border control, criminal and forensic identification, payments. Thus, there is a growing demand for faster and accurate Automatic Biometric Identification Systems (ABIS) capable to handle a large volume of biometric data. This work presents an approach to implement a scalable cluster-based matching platform for a large-scale ABIS using an in-memory computing framework. We have conducted some experiments that involved a database with more than 50 million captured fingerprints, in a cluster up to 16 nodes. The results have shown the scalability of the proposed solution and the capability to handle a large biometric database.
LOVATO, Christian. "Three-dimensional body scanning: methods and applications for anthropometry." Doctoral thesis, 2013. http://hdl.handle.net/11562/540549.
Full textIn this thesis we describe the developed computer method and experiments performed in order to apply whole body 3D scanner technology in support to anthropometry. The output of whole body scanners is a cloud of points, usually transformed in a triangulated mesh through the use of specific algorithms in order to support the 3D visualization of the surface and the extraction of meaningful anthropometric landmarks and measurements. Digital anthropometry has been already used in various studies to assess important health-related parameters. Digital anthropometric analysis is usually performed using device-specific and closed software solutions provided by scanner manufacturers, and requires often a careful acquisition, with strong constraints on subject pose. This may create problems in comparing data acquired in different places and performing large-scale multi-centric studies as well as in applying advanced shape analysis tools on the captured models. The aim of our work is to overcome these problems by selecting and customizing geometrical processing tools able to create an open and device-independent method for the analysis of body scanner data. We also developed and validated methods to extract automatically feature points, body segments and relevant measurements that can be used in anthropometric and metabolic research. In particular we present three experiments. In the first, using specific digital anthropometry software, we evaluated the Breuckmann BodySCAN for performance in anthropometric measurement. Subjects of the experiment were 12 young adults underwent both manual and 3D digital anthropometry (25 measurements) wearing close-fitting underwear. Duplicated manual measurement taken by one experienced anthropometrist showed correlation r 0.975-0.999; their means were significantly different in four out of 25 measurements by Student’s t test. Duplicate digital measurements taken by one experienced anthropometrist and two naïve anthropometrists showed individual correlation coefficients r ranging 0.975-0.999 and means were significantly different in one out of 25 measurements. Most measurements taken by the experienced anthropometrist in the manual and digital mode showed significant correlation (intraclass correlation coefficient ranging 0.855-0.995, p<0.0001). We conclude that the Breuckmann BodyScan is reliable and effective tool for digital anthropometry. In a second experiment, we compare easily detectable geometrical features obtained from 3D scans of female obese (BMI > 30) subjects with body composition (measured with a DXA device) of the same subjects, in order to investigate which measurements on shape descriptors better correlate with torso and body fat. The results obtained show that some of the tested geometrical parameters have a relevant correlation, while other ones do not strongly correlate with body fat. These results support the role of digital anthropometry in investigating health-related physical characteristics and encourage the realization of further studies analyzing the relationships between shape descriptors and body composition. Finally, we present a novel method to characterize 3D surfaces through the computation of a function called Area Projection Transform, measuring the likelihood of points in the 3D space to be center of radial symmetry at selected scales (radii). The transform can be used to detect and characterize robustly salient regions (approximately spherical and cylindrical parts) and it is, therefore, suitable for applications like anatomical features detection. In particular, we show that it is possible to build graphs joining these points following maximal values of the MAPT (Radial Symmetry Graphs) and that these graphs can be used to extract relevant shape properties or to establish point correspondences on models robustly against holes, topological noise and articulated deformations. It is concluded that whole body scanning technology application to anthropometry are potentially countless, limited only by the ability of science to connect the biological phenomenon with the appropriate mathematical/geometrical descriptions.
Deo, Dhanannjay. "Computerized Landmarking And Anthropometry Over Laser Scanned 3D Head And Face Surface Meshes." Thesis, 2006. http://hdl.handle.net/2005/341.
Full textCAVEDON, Valentina. "Investigating body dimension and composition across diverse populations with traditional and advanced techniques." Doctoral thesis, 2015. http://hdl.handle.net/11562/903246.
Full textOver the course of my doctoral research project entitled “Investigating body dimension and composition across diverse populations with traditional and advanced techniques”, seven studies were conducted: “Effect of distinct impact loading sports on body composition in pre-menarcheal girls”, “Seasonal DXA-measured body composition changes in professional male soccer player”, “Bone quality predicts ball-throwing velocity in team handball”, “Body composition assessment in spinal cord injured wheelchair athletes”, “Kinematic analysis of the wheelchair tennis serve: Implications for Classification”, “Anthropometry, body composition and performance in young wheelchair basketball players”, and “Digital three-dimensional anthropometry detection of exercise-induced fat mass reduction in obese women”. Four of the above studies are published or in press in international Journals. In the above-mentioned studies, body dimensions and composition were investigated across diverse populations (e.g., pre-menarcheal gymnasts and volleyball players, elite male soccer players, sub-elite and elite handball players and wheelchair athletes) with traditional and advanced techniques. In particular, dual-energy X-ray absorptiometry (DXA) as well as manual and digital anthropometry were exploited. The combined application of traditional and advanced imaging techniques allowed me to study the anthropometry and body composition characteristics of participants in different sport activities to monitor the effects of sport training across a competitive season, analyse the relationship between anthropometry and body composition characteristics and specific technical skills, as well as provide useful information to improve the classification system of athletes playing Paralympic sports. In summary, the obtained results showed that 1. Higher muscle mass is a key factor for bone mineral accrual in pre-menarcheal girls exposed to impact-loading activity. 2. Professional soccer players undergo changes (especially in the lower limbs) in their fat mass, fat-free soft tissue mass, and bone mineral content across the season with some regional variations, irrespective of the playing position. 3. In male and female handball players, bone mineral content and/or bone mineral density is a body composition parameter able to explain a significant proportion of variability in ball throwing velocity. 4. In adapted physical activity the duration of injury strongly affect body composition of wheelchair athletes (wheelchair basketball players, wheelchair rugby players and handbikers). 5. In disabled people, it would be important to begin physical activity as soon as possible after injury in an attempt to slow or reduce the negative effects of the impairment on the body composition. 6. Comparison of current skinfold thickness predictive equation and DXA in wheelchair athletes shows a substantial underestimation of percentage of fat mass with the former, highlighting the need to use an ad hoc skinfold thickness equation for this population. 7. In young wheelchair basketball players several anthropometric variables are well correlated to wheelchair basketball performance (sport-specific field test and game-related statistics). 8. A clear relationship between the player’s impairment and performance in wheelchair tennis and in wheelchair basketball is present, suggesting that the current classification systems are to be challenged as to fairness.
Books on the topic "Digital Anthropometry"
Srivastava, Rajeev, S. K. Singh, and K. K. Shukla. Research developments in biometrics and video processing techniques. Hershey, PA: Information Science Reference, an imprint of IGI Global, 2014.
Find full textDuffy, Vincent G., ed. Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Anthropometry, Human Behavior, and Communication. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05890-5.
Full textservice), SpringerLink (Online, ed. Digital Human Modeling: Second International Conference, ICDHM 2009, Held as Part of HCI International 2009, San Diego, CA, USA, July 19-24, 2009. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009.
Find full textDuffy, Vincent G. Digital Human Modeling. Springer, 2009.
Find full textZakaria, Norsaadah. Digital Manufacturing Technology for Sustainable Anthropometric Apparel. Elsevier Science & Technology, 2022.
Find full textDigital Manufacturing Technology for Sustainable Anthropometric Apparel. Elsevier, 2022. http://dx.doi.org/10.1016/c2020-0-01151-5.
Full textZakaria, Norsaadah. Digital Manufacturing Technology for Sustainable Anthropometric Apparel. Elsevier Science & Technology, 2022.
Find full textDuffy, Vincent G. Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Anthropometry, Human Behavior, and Communication: 13th International Conference, DHM 2022, Held As Part of the 24th HCI International Conference, HCII 2022, Virtual Event, June 26-July 1, 2022, Proceedings, Part I. Springer International Publishing AG, 2022.
Find full textBook chapters on the topic "Digital Anthropometry"
Sforza, Chiarella, Claudia Dellavia, Marcio De Menezes, Riccardo Rosati, and Virgilio F. Ferrario. "Three-Dimensional Facial Morphometry: From Anthropometry to Digital Morphology." In Handbook of Anthropometry, 611–24. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-1788-1_32.
Full textHanson, Lars, and Dan Högberg. "Use of Anthropometric Measures and Digital Human Modelling Tools for Product and Workplace Design." In Handbook of Anthropometry, 3015–34. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-1788-1_186.
Full textSouccar, Nada M., Chung How Kau, and Seth M. Weinberg. "Digital Three-Dimensional Photogrammetry: Craniofacial Applications to Facial Growth, Orthognathic and Reconstructive Surgery, and Morphometrics." In Handbook of Anthropometry, 2511–20. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-1788-1_155.
Full textFang, Jing-Jing, and Sheng-Yi Fang. "An Automatic Method for Computerized Head and Facial Anthropometry." In Digital Human Modeling, 12–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21799-9_2.
Full textGe, Bao-zhen, Qing-guo Tian, K. David Young, and Yu-chen Sun. "Color 3D Digital Human Modeling and Its Applications to Animation and Anthropometry." In Digital Human Modeling, 82–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73321-8_10.
Full textLi, Peng, Jeremy Carson, Joseph Parham, and Steven Paquette. "Digital Human Modeling Pipeline with a 3D Anthropometry Database." In Advances in Intelligent Systems and Computing, 257–66. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41627-4_23.
Full textReynolds, Herbert, and Gunther Paul. "Systems Anthropometry of Digital Human Models for Seat Design." In Advances in Intelligent Systems and Computing, 184–95. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60825-9_21.
Full textNiu, Jianwei, Zhizhong Li, and Gavriel Salvendy. "Mathematical Methods for Shape Analysis and form Comparison in 3D Anthropometry: A Literature Review." In Digital Human Modeling, 161–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73321-8_20.
Full textPreethi, Roselin, and J. Chandra Priya. "Digital Anthropometry for Health Screening from an Image Using FETTLE App." In Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences, 123–35. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7533-4_10.
Full textWenzel, Sabine, Juliana Buchwald, and Hartmut Witte. "Estimation to Use the Stick Figure of Kinect® Version 2 for Digital Anthropometry." In Advances in Intelligent Systems and Computing, 530–43. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96065-4_57.
Full textConference papers on the topic "Digital Anthropometry"
Bušić, Anita, Josip Bušić, John Coleman, and Jožef Šimenko. "Comparison of Manual Anthropometry and a Mobile Digital Anthropometric System." In 8th International Conference on Sport Sciences Research and Technology Support. SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0010178201090115.
Full textLovato, Christian, Chiara Milanese, Andrea Giachetti, and Carlo Zancanaro. "3D Digital Anthropometry Using the BodySCAN." In 1st International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 19-20 October 2010. Ascona, Switzerland: Hometrica Consulting - Dr. Nicola D'Apuzzo, 2010. http://dx.doi.org/10.15221/10.259.
Full textDasgupta, Abira, Bharat Vijayaraghavan, N. R. Rajhans, Dileep Kulkarni, and A. V. Mannikar. "Digital Human Modeling for Indian Anthropometry." In 1st Asian Workshop on 3D Body Scanning Technologies, Tokyo, Japan, 17-18 April 2012. Ascona, Switzerland: Hometrica Consulting - Dr. Nicola D'Apuzzo, 2012. http://dx.doi.org/10.15221/a12.165.
Full textWilkerson, Patrick, and Andrzej Przekwas. "Integrated Modeling Framework for Anthropometry and Physiology Virtual Body." In 2007 Digital Human Modeling Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2007. http://dx.doi.org/10.4271/2007-01-2502.
Full textSeitz, Thomas, and Heiner Bubb. "Measuring of Human Anthropometry, Posture and Motion." In Digital Human Modeling For Design And Engineering Conference And Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1999. http://dx.doi.org/10.4271/1999-01-1913.
Full textNadadur, Gopal, Jim Chiang, Matthew B. Parkinson, and Allison Stephens. "Anthropometry for a North American Manufacturing Population." In Digital Human Modeling for Design and Engineering Conference and Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2009. http://dx.doi.org/10.4271/2009-01-2274.
Full textKouchi, Makiko, and Masaaki Mochimaru. "Evaluation of Accuracy in Traditional and 3D Anthropometry." In Digital Human Modeling for Design and Engineering Symposium. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2008. http://dx.doi.org/10.4271/2008-01-1882.
Full textKim, Seok-Hwan, Su-Hwan Hwang, Kwang-Noh Lee, Jong-Kweon Pyun, Hyung Yun Choi, Kyung Min Kim, Sungjin Sah, and Nicole Montmayeur. "New Anthropometry of Human Body Models for Riding Comfort Simulation." In 2007 Digital Human Modeling Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2007. http://dx.doi.org/10.4271/2007-01-2457.
Full textFriess, Martin. "Multivariate Accommodation Models using Traditional and 3D Anthropometry." In 2005 Digital Human Modeling for Design and Engineering Symposium. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2005. http://dx.doi.org/10.4271/2005-01-2735.
Full textEngstler, Florian, Olaf Sabbah, Heiner Bubb, and Tulin Gunduz Cengiz. "Statistical Approach to a Model-based Anthropometry Description." In Digital Human Modeling for Design and Engineering Conference and Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2009. http://dx.doi.org/10.4271/2009-01-2298.
Full text