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Relevant bibliographies by topics / Digital Anthropometry

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Journal articles

Academic literature on the topic 'Digital Anthropometry'

Author: Grafiati

Published: 11 March 2023

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Journal articles on the topic "Digital Anthropometry"

1

Jayaratne, Yasas S. N., and Roger A. Zwahlen. "Application of Digital Anthropometry for Craniofacial Assessment." Craniomaxillofacial Trauma & Reconstruction 7, no. 2 (2014): 101–7. http://dx.doi.org/10.1055/s-0034-1371540.

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Craniofacial anthropometry is an objective technique based on a series of measurements and proportions, which facilitate the characterization of phenotypic variation and quantification of dysmorphology. With the introduction of stereophotography, it is possible to acquire a lifelike three-dimensional (3D) image of the face with natural color and texture. Most of the traditional anthropometric landmarks can be identified on these 3D photographs using specialized software. Therefore, it has become possible to compute new digital measurements, which were not feasible with traditional instruments.

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2

Wong, Julielynn Y., Albert K. Oh, Eiichi Ohta, et al. "Validity and Reliability of Craniofacial Anthropometric Measurement of 3D Digital Photogrammetric Images." Cleft Palate-Craniofacial Journal 45, no. 3 (2008): 232–39. http://dx.doi.org/10.1597/06-175.

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Background: Direct anthropometry performed during a patient examination is the standard technique for quantifying craniofacial dysmorphology, as well as for surgical planning and outcome assessment. Several new technologies have been designed to computerize anthropometric measurements, including three-dimensional (3D) digital photogrammetry. These digital systems have the advantage of acquiring patient craniofacial surface images quickly and noninvasively. Before morphometry using digital photogrammetry can be applied in clinical and research practice, it must be assessed against direct anthro

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3

Kukharev, G. A., and N. Kaziyeva. "Application of digital facial anthropometry." Scientific and Technical Journal of Information Technologies, Mechanics and Optics 19, no. 2 (2019): 255–70. http://dx.doi.org/10.17586/2226-1494-2019-19-2-255-270.

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4

Heymsfield, 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 (2018): 680–87. http://dx.doi.org/10.1038/s41430-018-0145-7.

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5

Bonilla, 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 (2022): 1–4. http://dx.doi.org/10.21926/obm.icm.2204056.

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Anthropometric measurements are frequently used to assess changes in body composition in different populations. Despite being a cheap, in-field, and relatively valid technique, the COVID-19 pandemic has impulse research on digital anthropometry across the globe. Machine learning, as the convergence of artificial intelligence and data mining, has the potential to improve data collection and analysis in the applications of kinanthropometry. Far from replacing conventional methods, digital anthropometry is a powerful opportunity to increase accuracy, validity, practicality, and the use of self-mo

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6

Sharma, 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 (2022): 1–9. http://dx.doi.org/10.56896/ijmmst.2022.1.2.007.

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Anthropometry is a widely used tool across scientific disciplines like, clinical nutrition for assessing growth, body composition and anticipating the health risks, and clothing industry for customized designing. The conventional tools such as the calipers and measuring taps are now being replaced by the digital devices. Among digital devices, the latest technology revolves around low cost 3-D optical imaging techniques which finds their application in all domains including clinical, research and even day-today lives. The literature survey here was carried out in SCOPUS and fifteen research ar

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7

Weinberg, 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 (2004): 507–18. http://dx.doi.org/10.1597/03-066.1.

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Objective To determine the precision and accuracy of facial anthropometric measurements obtained through digital three-dimensional (3D) photogrammetry. Design Nineteen standard craniofacial measurements were repeatedly obtained on 20 subjects by two independent observers, using calipers and 3D photos (obtained with a Genex 3D camera system), both with and without facial landmarks labeled. Four different precision estimates were then calculated and compared statistically across techniques. In addition, mean measurements from 3D photos were compared statistically with those from direct anthropom

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8

Kukharev, G. A., and N. Kaziyeva. "Digital Facial Anthropometry: Application and Implementation." Pattern Recognition and Image Analysis 30, no. 3 (2020): 496–511. http://dx.doi.org/10.1134/s1054661820030141.

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9

Pratama, 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 (2019): 63. http://dx.doi.org/10.22146/ijitee.43698.

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Head Anthropometry is a part of anthropometry that needed to be measured carefully. It is because human head becomes an important part that necessary to be protected. The protection aims to look after the safety of the human head. Safety factors can be achieved by designing head products. Therefore, head anthropometry data is required to make a product design Currently, data retrieval of head anthropometry is still using several measuring devices such as anthropometers, sliding callipers, spreading callipers, and tape gauges. This measurement method makes the standard deviation become higher a

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10

Li, 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 (2022): 60. http://dx.doi.org/10.3390/jpm12010060.

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Three-dimensional surface imaging systems (3DSI) provide an effective and applicable approach for the quantification of facial morphology. Several researchers have implemented 3D techniques for nasal anthropometry; however, they only included limited classic nasal facial landmarks and parameters. In our clinical routines, we have identified a considerable number of novel facial landmarks and nasal anthropometric parameters, which could be of great benefit to personalized rhinoplasty. Our aim is to verify their reliability, thus laying the foundation for the comprehensive application of 3DSI in

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