Academic literature on the topic 'Anthropometric'

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Journal articles on the topic "Anthropometric"

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Bullas, Alice M., Simon Choppin, Ben Heller, and Jon Wheat. "Comparison of Complex and Simple Anthropometrics in the Descriptive Anthropometric Assessment of Male Cyclists." International Journal of Kinanthropometry 2, no. 2 (December 31, 2022): 13–27. http://dx.doi.org/10.34256/ijk2222.

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Introduction: Compare the importance of complex (areas and volumes) and simple (lengths and girths) surface anthropometrics in the descriptive anthropometric assessment of the lower body of male cyclists from different disciplines. Method: Using a 3dMDBody5 3D surface imaging system and bespoke software (KinAnthroScan), anthropometrics of the lower body of 23 male non-cyclists and 57 elite male cyclists from different cycling disciplines: sprint (track and road (hill)), endurance (road, > 50 miles), time trial (road, < 50 miles) and mountain bike (cross-country and enduro) were collected. Results: Several anthropometrics differed between cycling groups and when compared to the non-cyclists group; the sprint group demonstrated the largest magnitude of difference with other cycling disciplines and the non-cyclists group, whereas the time trial and mountain bike groups demonstrated the least. Complex anthropometrics were able to distinguish between groups as effectively as simple anthropometrics, and in some cases, were able to distinguish differences that were unidentifiable through simple anthropometrics alone. Conclusions: Researchers, anthropometrists and practitioners should consider the collection and use of complex anthropometrics to improve the understanding of anthropometric differences within descriptive anthropometry, alongside adopting caution when researching groups of cyclists from different disciplines due to their differing anthropometric profiles - categorising them by discipline when possible.
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Dāboliņa, Inga, Ausma Viļumsone, and Eva Lapkovska. "ANTHROPOMETRIC PARAMETRIZATION OF UNIFORMS FOR ARMED FORCES." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 3 (June 15, 2017): 41. http://dx.doi.org/10.17770/etr2017vol3.2519.

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Planning manufacture of uniforms decisions must be taken as to how many and in what size a particular model series should be manufactured, how they should be labeled and to what body-dimensions garment sizes should correspond. The purpose of anthropometric parametrization is to introduce garment size classification for mass production clothing, so as to representatively depict wearers’ body figure diversity. It is in the interests of manufacturers (design time and costs, logistics etc.) and buyers/procurement service alike to confine themselves with a minimum garment sizes and to use a possibly less complicated garment size classification. The aim of this research is to gather different impact factors for anthropometric parametrization for Uniforms of Armed Forces. Research is formed from anthropometric data and end user survey exploring data set of 150 soldiers. Anthropometrics are performed by non-contact anthropometric methods (3D anthropometrical scanner Vitus Smart XXL® is used in the study), data processing automation systems, pattern making CAD/CAM systems, etc. National Armed Forces (NAF) technical specification provides for manufacture of a wide range of garment sizes (by height indifference interval of 6 cm). Manufacturers labeling system and charts of finished products are subjected to comparative analysis and evaluation of corresponding standard recommendations is included. The study indicates the need to optimize the currently used anthropometry method in the Latvian Army, anthropometric data registration and application, thus improving the performance of military personnel and the procurement process and the use of resources, thus promoting resource planning and environmental protection. Also improvements are needed in uniform labeling and instructing of the military personnel on selection of uniform and equipment components. Proper anthropometric parametrization and labeling of Uniforms for Armed Forces would minimize expenses of Uniforms as well as the negative waste impact to the environment.
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Tiit, Ene-Margit. "Creation and revitalization of the Estonian National Register of anthropometric data." Papers on Anthropology 25, no. 2 (December 21, 2016): 70. http://dx.doi.org/10.12697/poa.2016.25.2.07.

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Anthropmetric data have always been of interest for scientists. They have also great practical value for different groups of people: tailors, designers and also health care specialists. Anthropological data are different in different geographical areas and also change in time. That is why it is important to save also results of older anthropometrical measurements. In Estonia the anthropometrical measurements have been made by different researchers since the 18th century. The Group of Physical Anthropology at the University of Tartu (initiated by prof Helje Kaarma) was especially active in gathering anthropometric data. The data were saved in the Anthropometic Register. Unfortunately, the register had no financial support and so its activities stopped. In summer 2016 the group of people interested in saving the historical anthropometric data started revitalising the Register of Anthropological Data. Hopefully, it will be possible to use the Estonian Social Science Data Archive for this purpose.
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Kumar Mishra, Maneesh, Pascal Bruniaux, Guillaume Tartare, and Christine Campagne. "Insole customized Part 1." Koža & obuća 68, no. 2 (2019): 12–19. http://dx.doi.org/10.34187/ko.68.2.4.

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Regardless of the objectives of the study, whether it is the morphological classification of the feet or the customization of products such as orthopedic insoles or appropriate footwear for atypical feet, it is the imperative to find a rational method for detecting the anthropometric points and curves. The studies explaining the anthropometry of the foot are very few and in some cases present contradictions in the measurements between the manual and automatic scanning processes. In addition, our goal was to implement a non-contact measurement method to detect the anthropometric points of feet. This method proposes different tracking techniques using different adjustable planes. In a 3D graphical process, the morphological curves have been located with the help of these anthropometrics points and allowed the identification of the foot by their measurements. These measurements were compared with those obtained by a 3D foot scanner to validate the detection method of anthropometric points and improve it by employing these scanners.
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Ulijaszek, Stanley J., and Deborah A. Kerr. "Anthropometric measurement error and the assessment of nutritional status." British Journal of Nutrition 82, no. 3 (September 1999): 165–77. http://dx.doi.org/10.1017/s0007114599001348.

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Anthropometry involves the external measurement of morphological traits of human beings. It has a widespread and important place in nutritional assessment, and while the literature on anthropometric measurement and its interpretation is enormous, the extent to which measurement error can influence both measurement and interpretation of nutritional status is little considered. In this article, different types of anthropometric measurement error are reviewed, ways of estimating measurement error are critically evaluated, guidelines for acceptable error presented, and ways in which measures of error can be used to improve the interpretation of anthropometric nutritional status discussed. Possible errors are of two sorts; those that are associated with: (1) repeated measures giving the same value (unreliability, imprecision, undependability); and (2) measurements departing from true values (inaccuracy, bias). Imprecision is due largely to observer error, and is the most commonly used measure of anthropometric measurement error. This can be estimated by carrying out repeated anthropometric measures on the same subjects and calculating one or more of the following: technical error of measurement (TEM); percentage TEM, coefficient of reliability (R), and intraclass correlation coefficient. The first three of these measures are mathematically interrelated. Targets for training in anthropometry are at present far from perfect, and further work is needed in developing appropriate protocols for nutritional anthropometry training. Acceptable levels of measurement error are difficult to ascertain because TEM is age dependent, and the value is also related to the anthropometric characteristics of the group or population under investigation. R > 0·95 should be sought where possible, and reference values of maximum acceptable TEM at set levels of R using published data from the combined National Health and Nutrition Examination Surveys I and II (Frisancho, 1990) are given. There is a clear hierarchy in the precision of different nutritional anthropometric measures, with weight and height being most precise. Waist and hip circumference show strong between-observer differences, and should, where possible, be carried out by one observer. Skinfolds can be associated with such large measurement error that interpretation is problematic. Ways are described in which measurement error can be used to assess the probability that differences in anthropometric measures across time within individuals are due to factors other than imprecision. Anthropometry is an important tool for nutritional assessment, and the techniques reported here should allow increased precision of measurement, and improved interpretation of anthropometric data.
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Jodeh, Diana S., and S. Alex Rottgers. "High-Fidelity Anthropometric Facial Measurements Can Be Obtained From a Single Stereophotograph From the Vectra H1 3-Dimensional Camera." Cleft Palate-Craniofacial Journal 56, no. 9 (April 7, 2019): 1164–70. http://dx.doi.org/10.1177/1055665619839577.

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Background: Anthropometry is a well-established means of measuring facial morphology. Although reliable, direct anthropometry can be time-consuming and not conducive to a busy clinical practice. The Vectra H1 handheld stereophotogrammetric system requires 3 stereophotographs taken from different perspectives to generate a three-dimensional (3D) surface. The time needed to take the 3 stereophotographs can increase the possibility of involuntary movements, precluding its use to assess young patients. To overcome this limitation, we evaluated if accurate linear facial measurements can be obtained from a single stereophotograph and compare these to the measurements taken by direct anthropometry. Methods: Twenty pediatric patients, aged 0 to 10 years, who were undergoing minor surgical procedures at Johns Hopkins All Children’s Hospital were recruited. Fourteen linear facial distances were obtained from each participant using direct anthropometry under general anesthesia. These same distances were measured using Mirror 3D analysis. Intraclass correlation was used to determine intrarater reliability on duplicate 3D images. Results: Correlation coefficients between 3D imaging in frontal view and direct anthropometric measurements were excellent for 13 measures taken, ranging from 0.8 (subnasale to columella and subnasale to stomion superius) to 0.98 (nasion to subnasale and subnasale to labiale superius). Correlation coefficients between submental view and direct anthropometric measurements were excellent for 13 measures as well, ranging from 0.77 (subnasale to columella) to 0.98 (nasion to subnasale). Conclusions: Linear anthropometric measurements taken from 3D surfaces generated from a single stereophotograph correlate closely with direct anthropometric measures. This improves workflow and applicability of anthropometric studies to our youngest patients.
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Erkan, Ilker. "A system proposal for rapid detecting of anthropometric data and affecting design strategies." Journal of Engineering, Design and Technology 18, no. 6 (March 27, 2020): 1793–822. http://dx.doi.org/10.1108/jedt-11-2019-0302.

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Purpose The purpose of this study on architecture, design, ergonomics and anthropometry was to ensure compliance with the human-machine-work environment, minimize human error and obtain anthropometric measurements accurately, safely and rapidly. Design/methodology/approach The developed system efficiently extracted anthropometric data for 15,243 individuals with an accuracy rate of 98.8 per cent, focusing on the values for “shoulder breath” and “body depth.” In this study, a new anthropometric measurement system was developed and subsequently applied to obtain anthropometric measurements easily and quickly. The effect of the newly collected anthropometric data on the design discipline was evaluated. Findings The findings highlighted the need to update the anthropometric data used in other design studies. In addition to contributing to designing discipline, the updated anthropometric data are considered suitable for use in many different fields. Research limitations/implications The design discipline and related disciplines are expected to take advantage of these measurements. Updating the aforementioned data will also be easier and faster because of the simplicity and affordability of the system. Originality/value This is the first and only such study in Turkey with regard to the up-to-date anthropometric measurements obtained and the size of the database created.
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Wibneh, Amare, Ashish Kumar Singh, and Sougata Karmakar. "Anthropometric Measurement and Comparative Analysis of Ethiopian Army Personnel Across Age, Ethnicity, and Nationality." Defence Science Journal 70, no. 4 (June 25, 2020): 383–96. http://dx.doi.org/10.14429/dsj.70.15435.

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The anthropometric characteristics of the users depend upon the topography, nutrition, age, ethnicity, gender, and living conditions, and play a crucial role in the design of the equipment and the workspace to be used by them. This study aims to establish an anthropometry database for male Ethiopian army personnel and investigate the anthropometric variability across ethnicity, age, and with other countries, with the intention to facilitate ergonomic design and development of various facilities (e.g., equipment/ devices, and workspaces) for the Ethiopian army. Following the reliability assessment of the physical measurement technique, the anthropometric data from 250 Ethiopian male army personnel (four different ethnic groups at different age levels) were collected, and normality of the data set was tested. The anthropometric database of Ethiopian army personnel in terms of range, mean, standard deviation, percentile values (5th, 50th, and 95th) was documented. PCA was applied to select a smaller representative by reducing a larger set of variables for further statistical analysis and applications. ANOVA and follow-up posthoc test (Tukey’s HSD test) were carried out to compare anthropometric differences among different age groups and ethnic variations. The mean anthropometric differences were also compared with databases from other countries (India, Korea, and USA) using t-test. Significant variations were found when the anthropometry was compared between age, ethnicity, and cross-nationals. The findings indicate that variations in age, ethnicity, and geographical factors could have a significant impact on the ergonomic design of equipment and workspaces of Ethiopian army personnel.
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Mueller, William. "Anthropometric Health Assessment of Adults." Practicing Anthropology 8, no. 1-2 (January 1, 1986): 14–15. http://dx.doi.org/10.17730/praa.8.1-2.d3p42028q2256851.

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Anthropometry is the physical measurement of the human body. Historically, physical anthropologists have centered on osteometric and craniometric measurements; in the 19th century, the focus was on skeletal populations. At the beginning of the 20th century, this research focus shifted to the living as scientists such as Henry Bowditch, the medical doctor, and Franz Boas, the anthropologist, used anthropometric measurements of growing children as markers of health status. Scientists recognized that the growth and development process was affected by the environment and thus reflective of the health and well being of the individual and his/her population. Unfortunately, the study of development generally ceases with samples of young adults, who presumably have finished growing. This article deals with anthropometric health assessment in adults. It proposes that adults continue to change throughout their lives, and that the assessment of such changes through anthropometry has promising applications.
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Valleroy, Linda. "Applied Dimensions in Biomedical Anthropology." Practicing Anthropology 8, no. 1-2 (January 1, 1986): 5. http://dx.doi.org/10.17730/praa.8.1-2.w008607885115672.

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Anthropometry, the systematic measurement of human body dimensions and composition using standardized procedures, has long been one of the physical anthropologist's most important methods. Early work in biomedical anthropology used anthropometric variables to test associations among body types, body characteristics, and diseases. Today there is a renewed interest in anthropometry, ratios and equations derived from anthropometric measurements, and longitudinal changes in body measurements, for evaluating health and understanding disease in individuals and populations. The measurement of the human body is once again at the forefront of applied biomedical anthropology.
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Dissertations / Theses on the topic "Anthropometric"

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Kues, Arne Benjamin. "Essays in Anthropometric History." Diss., lmu, 2007. http://nbn-resolving.de/urn:nbn:de:bvb:19-71862.

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Corredor, Orlando A. "Anthropometric estimates for Colombian adults." FIU Digital Commons, 1994. http://digitalcommons.fiu.edu/etd/2643.

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Knowledge of anthropometric dimensions is important for the design of workspaces and equipment. In a developing country, such as Colombia, no anthropometric survey for Colombian adults has yet been published. Therefore, the purpose of this study is to assemble a Colombian adult anthropometric data set sufficiently accurate for design applications. An anthropometric survey was conducted on 134 Colombian adults living in South Florida. Twenty body dimensions were measured. Moreover, an anthropometric estimation method was selected, described and validated to be used as a reference when measurement of the user population is not possible. Anthropometric estimates, using the scaling ratio method, and those obtained in the survey were analyzed and compared with other population data. Tables are assembled and dimensional models are suggested which may be used as a design tool.
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Hueston, Susan. "Anthropometric Analysis of the Cervical Spine." Wright State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=wright1315947078.

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Zehner, Gregory F. "Prediction of anthropometric accommodation in aircraft cockpits /." The Ohio State University, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488203857251563.

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Mate, Samuel Spicer. "Anthropometric human modeling on the shape manifold." Thesis, University of Iowa, 2016. https://ir.uiowa.edu/etd/3139.

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The accuracy of modern digital human models has led to the development of human simulation engines capable of performing a complex analysis of the biometrics and kinematics / dynamics of a digital model. While the capabilities of these simulations have seen much progress in recent years, they are hindered by a fundamental limitation regarding the diversity of the models compatible with the simulation engine, which in turn results in a reduction in the scope of the applications available to the simulation. This is typically due to the necessary implementation of a musculoskeletal structure within the model, as well as the inherent mass and inertial data that accompany it. As a result a significant amount of time and expertise is required to make a digital human model compatible with the simulation. In this research I present a solution to this limitation by outlining a process to develop a set of mutually compatible human models that spans the range of feasible body shapes and allows for a “free” exploration of body shape within the shape manifold. Additionally, a method is presented to represent the human body shapes with a reduction of dimensionality, via a spectral shape descriptor, that enables a statistical analysis that is both more computationally efficient and anthropometrically accurate than traditional methods. This statistical analysis is then used to develop a set of representative models that succinctly represent the full scope of human body shapes across the population, with applications reaching beyond the research-oriented simulations into commercial human-centered product design and digital modeling.
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Pena, Isis. "Utility-based data mining: An anthropometric case study." Thesis, University of Ottawa (Canada), 2008. http://hdl.handle.net/10393/27723.

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One of the most important challenges for the apparel industry is to produce garments that fit the population properly. In order to achieve this objective, it is crucial to understand the typical profile of consumer's bodies. In this work, we aim to identify the typical consumer from the virtual tailor's perspective. To this end, we perform clustering analysis on anthropometric and 3-D data to group the population into clothing sizes. Next, we perform multi-view relational classification to analyze the interplay of different body measurements within each size. In this study, we analyze three different populations as contained in the CAESAR(TM) database, namely, the American, the Italian and the Dutch populations. Throughout this study, we follow a utility-based data mining approach. The goal of utility-base data mining is to consider all utility aspects of the mining process and to thus maximize the utility of the entire process. In order to address this issue, we engage in dimension reduction techniques to find a smaller set of body measurement that reduces the cost and improves the performance of the mining process. We also apply objective interestingness measures in our analysis of demographic data, to improve the quality of the results and reduce the time and search space of the mining process. The analysis of demographic data allows us to better understand the demographic nature of potential customers, in order to target subgroups of potential customers better.
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Lau, Chi Bang Abe Graduate School of Biomedical Engineering Faculty of Engineering UNSW. "Anthropometric study of the femur - an automated approach." Publisher:University of New South Wales. Graduate School of Biomedical Engineering, 2009. http://handle.unsw.edu.au/1959.4/43647.

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Knowledge of anatomy is an elementary step towards the understanding of the human body. First used by Alphonse Bertillon as an identification system, anthropometry refers to the measurements of human individuals. In orthopaedics, comparative analysis is widely used in the understanding of morphological variance due to races, sex and pathological conditions. The characterization of bone and joint geometry has also been a foundation of modern surgical implant design. Traditional anthropometric studies rely on physical measurements by means of osteometric table. Recent advancements of 3-D imaging modalities and image processing techniques have empowered more fine-grained anthropometric characterization. The inspiration for the study is: - the understanding of anatomy originating from the clinical domain have shown to contribute to undesirable inconsistency in the image processing domain. - the difficulty of existing automated anthropometric methodology in handling pathological femur. - the tedious amount of manual and subjective work involved with the increasing amount of high resolution imaging data. The aim of the study is to: - develop a consistent and robust methodology in accurate extraction of anthropometric parameters on the femur. - increase the level of automation on the process of anthropometric parameter extraction. With the bridging of anthropometry and the image processing disciplines, a robust methodology of anthropometric parameter extraction with high level of automation was developed, implemented and tested. A dataset comprised of femoral CT scans of 19 healthy Australian, 10 healthy Japanese, 15 Japanese diagnosed with primary or secondary hip osteoarthritis and 20 adult sheep was utilized for testing. Intra-class correlation and Cronbach's α were extensively employed to evaluate the intra-rater, interrater and repeated scans consistency of the proposed methodology. High correlation values (mean > 0.95) were noted suggesting a high consistency of the methodology. All healthy and osteoarthritis human datasets were processed successfully. With the structural similarity between the sheep and human femur, the robustness was further demonstrated by accurate processing of the sheep dataset without the need of any modification of the underlying methodology. The methodology proposed is highly automated and requires very few user interactions in the parameter extraction stage.
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Kennedy, Aaron P. "Investigations into obesity using anthropometric, serum and genetic markers/." Internet access available to MUN users only. Search for this title in:, 2010.

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Zehetmayer, Matthias. "An Anthropometric History of the Postbellum US, 1847-1894." Diss., lmu, 2010. http://nbn-resolving.de/urn:nbn:de:bvb:19-123214.

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Sherrard, Adam. "Maternal anthropometric factors and the risk of cesarean delivery." Thesis, McGill University, 2004. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=81438.

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The cesarean delivery rate in Canada has never been higher than it is now. To identify the contribution of pre-pregnancy adiposity and maternal weight gain to the risk of cesarean delivery, and evaluate to what extent these factors may account for temporal trends in primary cesarean delivery, we conducted an historical hospital-based cohort study of 63 390 deliveries at Montreal's Royal Victoria Hospital from 1978 to 2001. Pregravid adiposity and high net rate of gestational weight gain were associated with primary intrapartum cesarean delivery, and overweight and obese women with a previous cesarean were at higher risk for failing a trial of labour. Overall, women who were obese or overweight were more likely to fail a trial of labour, regardless of whether they had previously delivered by cesarean, but temporal trends in primary cesarean delivery could not be attributed to changes in maternal anthropometric factors.
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Books on the topic "Anthropometric"

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Nutrition, Massachusetts Office of. Anthropometric measurement workshop. Boston, Mass: The Office, 1988.

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India, Anthropological Survey of, ed. All India anthropometric survey. Kolkata: Anthropological Survey of India, 2006.

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P, Podstavkina T., and Strokina A. N, eds. Anthropometric atlas: Recommendations on methods. New Delhi: Oxonian Press, 1985.

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G, Farkas Leslie, and Munro Ian R, eds. Anthropometric facial proportions in medicine. Springfield, Ill., USA: Thomas, 1987.

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H, Himes J., ed. Anthropometric assessment of nutritional status. New York: Wiley-Liss, 1991.

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Design, National Institute of, ed. Indian anthropometric dimensions for ergonomic design practice. Ahmedabad: National Institute of Design, 1997.

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Standardization, International Organization for. Garment construction and anthropometric surveys - body dimensions. Genève: ISO, 1989.

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Basu, Arabinda. Anthropometric variations in Assam, Bihar, and Orissa. Calcutta: Anthropological Survey of India, 1995.

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Gráda, Cormac Ó. Anthropometric history: What's in it for Ireland? Dublin: University College Dublin, Department of Economics, 1994.

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Pullan, Gary Christopher. Modelling of the sprint start from anthropometric measurements. Salford: University of Salford, 1989.

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Book chapters on the topic "Anthropometric"

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Abrams, David B., J. Rick Turner, Linda C. Baumann, Alyssa Karel, Susan E. Collins, Katie Witkiewitz, Terry Fulmer, et al. "Anthropometric." In Encyclopedia of Behavioral Medicine, 100. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_100081.

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Fidanza, F., W. Keller, S. B. Heymsfield, J. C. Seidell, N. G. Norgan, and P. Sarchielli. "Anthropometric methodology." In Nutritional Status Assessment, 1–62. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-6946-0_1.

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Komlos, John. "Anthropometric History." In The New Palgrave Dictionary of Economics, 333–38. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_2365.

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Komlos, John. "Anthropometric History." In The New Palgrave Dictionary of Economics, 1–6. London: Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/978-1-349-95121-5_2365-1.

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Beden, Ümit, and Matej Beltram. "Periorbital Anthropometric Measurements." In Handbook of Anthropometry, 641–54. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-1788-1_34.

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Seo, Hyewon. "Anthropometric Body Modeling." In Handbook of Virtual Humans, 75–98. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470023198.ch4.

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Bubb, Heiner, Rainer E. Grünen, and Wolfram Remlinger. "Anthropometric Vehicle Design." In Automotive Ergonomics, 343–468. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-33941-8_7.

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Rice, Daniel, and Medhat Korna. "Anthropometric Casualty Estimation Methodologies." In Lecture Notes in Computer Science, 84–91. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21070-4_9.

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Madden, Angela. "Anthropometric assessment of undernutrition." In Advanced Nutrition and Dietetics in Nutrition Support, 55–64. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781118993880.ch2.3.

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Jarkiewicz, Julia, Rafał Kocielnik, and Krzysztof Marasek. "Anthropometric Facial Emotion Recognition." In Human-Computer Interaction. Novel Interaction Methods and Techniques, 188–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02577-8_21.

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Conference papers on the topic "Anthropometric"

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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.

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M. Sáenz, Luz, Ana María Lotero, Emilio Cadavid, and Gustavo Sevilla. "Anthropometry as a Resource in the Learning Process of Ergonomics / Human Factors and Design." In Applied Human Factors and Ergonomics Conference (2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001248.

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The Design Faculty’s Ergonomics Research Line at the Universidad Pontificia Bolivariana (UPB) in Medellín, Colombia, which provides the basis for courses in Ergonomics and Design, has developed a series of didactic strategies that are included in the academic training of industrial designers. These strategies develop students’ ability to recognize – within a framework of Ergonomics/Human Factors – conceptual criteria, techniques and Anthropometric procedures for the design process. This proposal presents theoretical and practical activities designed by the Ergonomics Research Line of the Design Studies Group (GED) at UPB, within the framework of the Anthropometry for Design: Manual and Measuring Equipment research project. This project entails the development of Anthropometry approach exercises, a procedure for sizing objects based on anthropometric criteria. It has also led to a basic research process for the erGO research seedbed (thematic examination, current state of the industry and the development of a prototype of an instrument for measuring hands). The project also acts as a motivational endeavor for the students: through these proposals, they contribute towards the creation of a laboratory of Ergonomics/Human Factors from the anthropometric component.
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Zhang a, Xuezhi, Xiaoghui Zheng a, Songtao Ding a, and Taijie Liu band He Fang a. "Error Analysis for Three-Dimensional Anthropometric Survey of Young Chinese Males." In Applied Human Factors and Ergonomics Conference. AHFE International, 2018. http://dx.doi.org/10.54941/10021.

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Based on the requirement of design and manufacture, a three-dimensional anthropometry survey was conducted in China in 2010-2011. 10319 young Chinese males (18~36 years old) were measured. The errors of the three-dimensional scanning method and the errors between three-dimensional scanning method and traditional manual method were analyzed in this paper. Three different error analysis methods were used to study the accuracy of the anthropometric survey. The results showed that the accuracy of the anthropometric data is acceptable.
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Acar, B. Serpil, Alix M. Weekes, and David van Lopik. "Anthropometric Modelling of the Pregnant Occupant." In ASME 7th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2004. http://dx.doi.org/10.1115/esda2004-58151.

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A parametric anthropometric model of a pregnant woman has been produced for use in crash protection research. The model is based on anthropometric measurements of pregnant women, with the initial model representing a 5th percentile woman in her 30th week of gestation. The model has been developed to be easily scaleable so women of different sizes can be modeled and adapted to simulate any stage of pregnancy. Previous research has simply added an enlarged abdomen to existing females models. However the model presented describes a comprehensive depiction of the altered pregnant form by incoporating the anthropometry of the entire body. This paper presents the pregnant occupant model for use in evaluation of safety systems and vehicle interiors. This work is the first step toward a computational pregnant occupant for crash protection research, capable of simulating dynamic impact response and predicting injury risk in automobile crashes.
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Seifert, Emily, Christopher Curry, and Linsey Griffin. "3D Anthropometric Assessment of Functional Hand Grasps for Surgeons and Medical Professionals." In 2019 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/dmd2019-3310.

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Fine and gross motor skills of the hand are essential to complete the work of surgery. During examinations and surgery, the hand becomes a surgeon and a medical professional’s first point of contact with a patient, as they use their hands to perform tasks with various tools while wearing gloves. The anthropometry of hands and the interaction of the tool can affect the probability of developing a musculoskeletal injury [3]. Tools for healthcare professionals are typically designed using male anthropometric data taken from only one position using tape measures and calipers. The problem with this approach is that humans are rarely in these positions when carrying out everyday tasks and hand measurements and form change with movement. This paper discusses a new method of capturing dynamic hand anthropometry through the use of 3D scanners, to address traditional anthropometric hand data’s limitation. Based on an initial assessment of surgical instruments, six functional hand grasps were selected and compared to traditional hand anthropometric poses. Using these poses, a pilot study with one male was conducted. In total 65 measurements were gathered through 8 poses. The positions with the largest range of measurement change were: Total Hand Length-Palmar with 48 mm, Total Hand Length-Dorsal with 39 mm, and the tip of the first digit through webspace to the tip of digit 2 (Web) with 26 mm. Understanding dimensional change in select areas of the hand is essential to developing more ergonomic, better fitting products for surgeons and medical professionals. A 26–48 mm dimensional change can have a significant impact on the positioning of surgical tool properties, as well as the functionality of the tool and precision of work for surgeons and medical professionals with different hand sizes. This pilot study demonstrated the feasibility of using functional hand grasps as a basis for collecting hand anthropometric data using a 3D scanner.
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Moraes, Anna S. P., Miguel A. Carvalho, Rachel S. Boldt, Fernando B. N. Ferreira, Susan Ashdown, and Linsey Griffin. "Female Firefighters’ Body Weight and Stature: A Comparison between Two Portuguese Fire Brigades." In 20th AUTEX World Textile Conference - Unfolding the future. Switzerland: Trans Tech Publications Ltd, 2022. http://dx.doi.org/10.4028/p-w7pbnb.

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Anthropometric data are essential for applying ergonomic principles to the design of a wide range of products and are paramount when developing personal protective equipment. In the case of occupations that deal with extreme circumstances, as is the case of firefighting, a proper fit and sizing of personal protective equipment is related not only with work performance and comfort but also with protection level. The increase in the number of female firefighters have raised the discussion about the barriers and challenges faced by women in firefighting. Issues with the fit of personal protective equipment commonly appear among physical and psychological stressors encountered by female firefighters. The need to provide gender-specific protective equipment for such professionals is highlighted by many studies. Furthermore, significant anthropometric differences among specialized occupational groups have also been found. However, anthropometric databases on firefighters are still very limited. Aiming to fulfill this shortcoming as well as to understand if Portuguese firefighters’ protective equipment is adjusted to their anthropometrics, a study designated as Size FF Portugal – Anthropometric Study of Portuguese Firefighters is currently underway. This paper presents a preliminary comparison of anthropometric data of female firefighters from two different fire brigades located in the North of Portugal. Stature and body weight measurements of 30 participants were analyzed using both descriptive and inferential statistics. Results show that there were not statistically significant differences on the average stature nor on the average body weight of female firefighters from both brigades. Moreover, significant differences were not found when comparing their types of commitment for both considered measurements. However, the comparison of stature data of female firefighters with two available anthropometric databases of the Portuguese population presented statistically significant differences. These results corroborate similar research and highlight the relevance of the on-going study. A discussion regarding the results is presented, taking into consideration the current stage of the study and its limitations.
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Shaw, Brian E., and Mark S. Sanders. "U.S. Truck Driver Anthropometric and Truck Work Space Data Survey: Demographics and Static Anthropometrics." In 3rd International Pacific Conference on Automotive Engineering (1985). 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1985. http://dx.doi.org/10.4271/852316.

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Shouzhong, Hu, and Zhou Xiang. "Virtual Fitting Based on 3D Human Body Measurement Software Research and Application." In Applied Human Factors and Ergonomics Conference. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe100796.

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This article expounds the barriers in the development of intelligent fitting system, which focuses on the correlation between body database and of intelligent fitting system. How can the system estimate the suitability based on the deformation under constraint of human body and clothing material. The data collection adopted a non-touching 3D anthropometric method by taking pictures of front, back and side of a human body in a background with scale, marking several feature points of important body parts, calculating and speculating these feature points to get the corresponding data of human body, and setting up an anthropometry database to simulate the corresponding virtual 3D body model in the software. And this article focuses the analysis and application of 3D anthropometric data in the intelligent fitting system of female skirt.
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Hunn, Bruce P. "Anthropometric Evaluation for Ergonomic Design." In Aerospace Manufacturing Technology Conference & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1998. http://dx.doi.org/10.4271/981862.

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Enciso, Reyes, Alex M. Shaw, Ulrich Neumann, and James Mah. "Three-dimensional head anthropometric analysis." In Medical Imaging 2003, edited by Robert L. Galloway, Jr. SPIE, 2003. http://dx.doi.org/10.1117/12.479752.

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Reports on the topic "Anthropometric"

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Robinette, Kathleen M. Maximizing Anthropometric Accommodation and Protection. Fort Belvoir, VA: Defense Technical Information Center, August 2007. http://dx.doi.org/10.21236/ada478337.

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Zehner, Gregory F. Prediction of Anthropometric Accommodation in Aircraft Cockpits. Fort Belvoir, VA: Defense Technical Information Center, June 2001. http://dx.doi.org/10.21236/ada399750.

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Acosta-Ordoñez, Karina Dianeth, and Adolfo Meisel-Roca. Ethnic groups and anthropometric differences in Colombia. Bogotá, Colombia: Banco de la República, August 2012. http://dx.doi.org/10.32468/be.731.

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Millimet, Daniel, and Rusty Tchernis. The Origins of Early Childhood Anthropometric Persistence. Cambridge, MA: National Bureau of Economic Research, October 2013. http://dx.doi.org/10.3386/w19554.

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Reddi, M. M., Donald F. DeCleene, Mitchell B. Oslon, Bruce M. Bowman, and Bryce T. Hartmann. Development of Anthropometric Analogous Headforms. Phase 1. Fort Belvoir, VA: Defense Technical Information Center, October 1994. http://dx.doi.org/10.21236/adb195810.

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Harris, Bernard. Anthropometric history and the measurement of wellbeing. Verlag der Österreichischen Akademie der Wissenschaften, June 2021. http://dx.doi.org/10.1553/populationyearbook2021.rev02.

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It has often been recognised that the average height of a population is influencedby the economic, social and environmental conditions in which it finds itself, andthis insight has inspired a generation of historians to use anthropometric data toinvestigate the health and wellbeing of past populations. This paper reviews someof the main developments in the field, and assesses the extent to which heightremains a viable measure of historical wellbeing. It explores a number of differentissues, including the nature of human growth; the impact of variations in diet andexposure to disease; the role of ethnicity; the relationships between height, mortalityand labour productivity; and the “social value” of human stature. It concludes that,despite certain caveats, height has retained its capacity to act as a “mirror” of theconditions of past societies, and of the wellbeing of their members.
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Clauser, Charles, Ilse Tebbetts, Bruce Bradtmiller, John McConville, and Claire C. Gordon. Measurer's Handbook: U.S. Army Anthropometric Survey, 1987-1988. Fort Belvoir, VA: Defense Technical Information Center, May 1988. http://dx.doi.org/10.21236/ada202721.

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Fenlon, Riley. Facial respirator shape analysis using 3D anthropometric data. Gaithersburg, MD: National Institute of Standards and Technology, 2007. http://dx.doi.org/10.6028/nist.ir.7460.

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Kennedy, Greg. USN/USMC Ejection Seat Equipped Aircraft Anthropometric Accommodation. Fort Belvoir, VA: Defense Technical Information Center, January 1999. http://dx.doi.org/10.21236/ada377912.

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Schafer, Edward, and Barry T. Bates. Anthropometric Comparisons between Face Measurements of Men and Women. Fort Belvoir, VA: Defense Technical Information Center, June 1988. http://dx.doi.org/10.21236/ada204537.

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