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Literatura académica sobre el tema "Digital Anthropometry"

Autor: Grafiati

Publicado: 11 de marzo de 2023

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Artículos de revistas sobre el tema "Digital Anthropometry"

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. The term “digital anthropometry” has been used by researchers based on such systems to separate their methods from conventional manual measurements. Anthropometry has been traditionally used as a research tool. With the advent of digital anthropometry, this technique can be employed in several disciplines as a noninvasive tool for quantifying facial morphology. The aim of this review is to provide a broad overview of digital anthropometry and discuss its clinical applications.

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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 anthropometry. Objective: To evaluate the validity and reliability of facial anthropometric linear distances imaged by 3D digital photogrammetry with respect to direct anthropometry. Design, Setting, Participants, Measures: Standard craniofacial distances were directly measured twice on 20 normal adult volunteers. Craniofacial surfaces were also imaged using the 3dMDface digital photogrammetry system, and distances were digitally measured twice for each subject. Validity measures of accuracy and bias (for direct versus digital measurements) and reproducibility measures of precision and test-retest reliability (for repeated sets of digital measurements) were computed. Results: Seventeen of the 18 direct measurements correlated highly with digital values (mean r = 0.88). The correlation for one measurement (upper prolabial width) was not statistically significant. The overall precision of all 17 digital measurements was less than 1 mm, and the reliability was high (mean r = 0.91). Conclusions: Craniofacial anthropometry using the 3dMDface System is valid and reliable. Digital measurements of upper prolabial width may require direct marking, prior to imaging, to improve landmark identification.

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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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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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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-monitoring procedures under professional supervision. However, further research and scientific literacy among practitioners are warranted.

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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 articles, meeting the inclusion criteria, were selected for this review. The study indicated the propensity of the USA and image processing technologies in contactless anthropometric measurements. The consistent studies since 1996 and the domination of the application of the anthropometric data in health services and textile industry suggest necessity of this study. This study utilizes the domain of the optical imaging techniques and provide an overview of the potential applications, operational details and validation studies. The contactless anthropometry is rapidly transforming the static and dormant areas of ergonomics with numerous research opportunities and novel applications.

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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 anthropometry. Results In terms of measurement precision, the 3D photos were clearly better than direct anthropometry. In almost all cases, the 3D photo with landmarks labeled had the highest overall precision. In addition, labeling landmarks prior to taking measurements improved precision, regardless of method. Good congruence was observed between means derived from the 3D photos and direct anthropometry. Statistically significant differences were noted for seven measurements; however, the magnitude of these differences was often clinically insignificant (< 2 mm). Conclusions Digital 3D photogrammetry with the Genex camera system is sufficiently precise and accurate for the anthropometric needs of most medical and craniofacial research designs.

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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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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 and also take a lot of time to capture huge amounts of anthropometry data. However, the problem has been resolved by other study research with building a head dimension measurement system using digital camera. But the system still need the integration with digital camera. This study uses the IP Camera that has been integrated with the system to capture human head from the front and side. The captured image is segmented into several areas based on head dimension. Then, the image is processed using pixel measurement method by performing feature extraction on each head dimension to get the result of head dimension measurement. The result shows that calliper measurement and system measurement against ten of fourteen human head anthropometry dimensions is identical with the best distance between IP Camera and the head as far as 200 cm. This head anthropometry data is expected to make a contribution to Indonesian Ergonomics Society.

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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 personalized rhinoplasty. We determined 46 facial landmarks and 57 anthropometric parameters. A total of 110 volunteers were recruited, and the intra-assessor, inter-assessor, and intra-method reliability of nasal anthropometry were assessed through 3DSI. Our results displayed the high intra-assessor reliability of MAD (0.012–0.29, 0.003–0.758 mm), REM (0.008–1.958%), TEM (0–0.06), rTEM (0.001–0.155%), and ICC (0.77–0.995); inter-assessor reliability of 0.216–1.476, 0.003–2.013 mm; 0.01–7.552%, 0–0.161, and 0.001–1.481%, 0.732–0.985, respectively; and intra-method reliability of 0.006–0.598°, 0–0.379 mm; 0 0.984%, 0–0.047, and 0–0.078%, 0.996–0.998, respectively. This study provides conclusive evidence for the high reliability of novel facial landmarks and anthropometric parameters for comprehensive nasal measurements using the 3DSI system. Considering this, the proposed landmarks and parameters could be widely used for digital planning and evaluation in personalized rhinoplasty, otorhinolaryngology, and oral and maxillofacial surgery.

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