Relevant bibliographies by topics / Anthropometric features

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  2. Dissertations / Theses
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Academic literature on the topic 'Anthropometric features'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Anthropometric features"

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A.H.Hilmi and A.R.A.Hamid. "Current Issues Related to Anthropometry in Engineering." Malaysian Journal of Ergonomics (MJEr) 4 (June 12, 2024): 51–58. http://dx.doi.org/10.58915/mjer.v4.2022.739.

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Anthropos and Metrikos both mean "human" in Greek, which is where the term anthropometry comes from. Anthropometry is employed in a variety of fields, including apparel and textile design. For anthropometric evaluations, a current, thorough, and community-specific anthropometric normative-reference standard is necessary. In health care, ergonomic design is utilised to reduce pain and illness. Misalignments between humans and machines result in pain, accidents, biomechanical stress, tiredness, and musculoskeletal injuries. Designing for the anthropometrics of end users improves long-term viabil
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Cenikli, Abdullah. "The investigation anthropometric features of adolescent football players." International Journal of Academic Research 5, no. 5 (2013): 187–92. http://dx.doi.org/10.7813/2075-4124.2013/5-5/a.27.

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Sela, Enny Itje, Sri Hartati, Agus Harjoko, Retantyo Wardoyo, and Munakhir Mudjosemedi. "Feature Selection of the Combination of Porous Trabecular with Anthropometric Features for Osteoporosis Screening." International Journal of Electrical and Computer Engineering (IJECE) 5, no. 1 (2015): 78. http://dx.doi.org/10.11591/ijece.v5i1.pp78-83.

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This study aims to select the important features from the combination of porous trabecular pattern with anthropometric features for osteoporosis screening. The study sample has their bone mineral density (BMD) measured at the proximal femur/lumbar spine using dual-energy X-ray absorptiometry (DXA). Morphological porous features such as porosity, the size of porous, and the orientation of porous are obtained from each dental radiograph using digital image processing. The anthropometric features considered are age, height, weight, and body mass index (BMI). Decision tree (J.48 method) is used to
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Long, The Nguyen, and Thu Nguyen Huong. "BRAIN Journal - Automatic Anthropometric System Development Using Machine Learning." BRAIN - Broad Research in Artificial Intelligence and Neuroscience 7, no. 3 (2016): 5–15. https://doi.org/10.5281/zenodo.1044984.

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ABSTRACT The contactless automatic anthropometric system is proposed for the reconstruction of the 3D-model of the human body using the conventional smartphone. Our approach involves three main steps. The first step is the extraction of 12 anthropological features. Then we determine the most important features. Finally, we employ these features to build the 3D model of the human body and classify them according to gender and the commonly used sizes.
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Xu, Anying, Tianshu Wang, Tao Yang, and Kongfa Hu. "Extracting Multi-Dimensional Features for BMI Estimation Using a Multiplex Network." Symmetry 17, no. 6 (2025): 877. https://doi.org/10.3390/sym17060877.

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Body Mass Index (BMI) is a crucial indicator for assessing human obesity and overall health, providing valuable insights for applications such as health monitoring, patient re-identification, and personalized healthcare. Recently, several data-driven methods have been developed to estimate BMI using 2D and 3D features extracted from facial and body images or RGB-D data. However, current research faces challenges such as the incomplete consideration of anthropometric features, the neglect of multiplex networks, and low-BMI-estimation performance. To address these issues, this paper proposes thr
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Song, Dan, Jing Luo, Chunyuan Zi, and Huixin Tian. "3D Face Recognition Using Anthropometric and Curvelet Features Fusion." Journal of Sensors 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/6859364.

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Curvelet transform can describe the signal by multiple scales, and multiple directions. In order to improve the performance of 3D face recognition algorithm, we proposed an Anthropometric and Curvelet features fusion-based algorithm for 3D face recognition (Anthropometric Curvelet Fusion Face Recognition, ACFFR). First, the eyes, nose, and mouth feature regions are extracted by the Anthropometric characteristics and curvature features of the human face. Second, Curvelet energy features of the facial feature regions at different scales and different directions are extracted by Curvelet transfor
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Bruening, Dustin A., Charles D. Goodyear, David R. Bowden, and Rebecca E. Barone. "Gender recognition from biologically guided anthropometric features." International Journal of Biometrics 7, no. 4 (2015): 354. http://dx.doi.org/10.1504/ijbm.2015.076137.

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Bachynska, N. V., and V. I. Sarychev. "Anthropometric features of sexual dimorphism of acrobats." Scientific Journal of National Pedagogical Dragomanov University. Series 15. Scientific and pedagogical problems of physical culture (physical culture and sports), no. 7(167) (July 15, 2023): 21–27. http://dx.doi.org/10.31392/npu-nc.series15.2023.7(167).03.

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The article examines the anthropometric indicators, from the standpoint of sexual dimorphism, of acrobats and female acrobats of various roles and non-sports persons aged 9 to 23, representatives of the Dnipropetrovsk region. The purpose of the study: the study of the physical status of acrobats and people who do not play sports, which is considered from the point of view of sexual dimorphism. It was found that acrobat girls lag behind the control group in terms of length, body weight, arm length, leg length (cm), chest circumference (both on inhalation and exhalation). The acrobats above, age
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Ghalib Albassam, Hayder, Tara Hussein Tayib, and Adnan Mohammed Hasan. "PRECOCIOUS PUBERTY AMONG GIRLS IN SULAIMANI: CAUSES AND ANTHROPOMETRIC FEATURES." Journal of Sulaimani Medical College 9, no. 1 (2019): 29–36. http://dx.doi.org/10.17656/jsmc.10187.

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Nabil Basim, Yousif Haddad, О. А. Serebrennikova, I. V. Gunas, Yu V. Kyrychenko, and T. O. Rekun. "Features of total and longitudinal body sizes in men with benign nevi." Reports of Morphology 27, no. 3 (2021): 61–66. http://dx.doi.org/10.31393/morphology-journal-2021-27(3)-09.

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The use of anthropometric markers to predict the onset or severity of the disease is key to solving the problem of preventive medicine and can be an indispensable tool in preventive examinations in schools, universities and industries. The purpose of the study was to establish total and longitudinal body sizes in men of the first mature age with benign nevi. Anthropometry (determination of total and longitudinal body sizes) was performed according to Bunak’s scheme for men (aged 22-35 years) patients with melanocytic benign simple nevi (n=34), melanocytic benign dysplastic nevi (n=27), melanoc
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Dissertations / Theses on the topic "Anthropometric features"

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Шепєлєв, Анатолій Єгорович, Анатолий Егорович Шепелев, and Anatolii Yehorovych Shepieliev. "Comparison of anthropometric body features of highclass volleyball players." Thesis, Sumy State University, 2014. http://essuir.sumdu.edu.ua/handle/123456789/49248.

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One of the factors determining skills of athletes in certain sport is body build features. Sport result depends a lot on morphologic features of the sportsman, that is one of the selective factors determining the sportsman's perspective. Purpose of research is studying of peculiarities anthropomentric and somatometric indices of super league, premier league and first league teams.
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Шепєлєв, Анатолій Єгорович, Анатолий Егорович Шепелев, and Anatolii Yehorovych Shepieliev. "Anthropometric features of ukrainian national women’s team in biathlon." Thesis, Kaunas university of technology, 2012. http://essuir.sumdu.edu.ua/handle/123456789/29497.

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У звязку з метою дослідження нами на базі Сумського державного університету були обстежені студентки, що проживали в Сумському регіоні та спортсменки- мастера спорту з біатлону під час зборів . Антропометричне обстеження було проведено згідно схеми В.В. Бунака. Метою дослідження було встановлення будови тіла студенток, спортсменок, а також кореляційних звязків маси тіла, росту з соматометричними показниками. При цитуванні документа, використовуйте посилання http://essuir.sumdu.edu.ua/handle/123456789/29497<br>В связи с целью исследования, нами на базе Сумского государственного университета б
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Chen, Tzu-Yu, and 陳姿羽. "Autoencoding HRTFs for DNN based HRTF personalization using anthropometric features." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/46e3f8.

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EBADA, KHALED ABD EL RAOUF. "Die Probleme des Trainings von Gewichthebern im Kindes- und Jugendalter." Doctoral thesis, 2003. http://hdl.handle.net/11858/00-1735-0000-0006-B244-F.

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Leong, Iat-Fai, and 梁日輝. "Automatic feature extraction and anthropometry from marker-less scanned human body." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/37536381813110480012.

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博士<br>國立成功大學<br>機械工程學系碩博士班<br>97<br>In this research, we propose a novel computerized anthropometric system for marker-less scanned body. The descriptions of human body features mostly defined in ASTM [1] and ISO [2][3] are interpreted into logical mathematical definitions. Based on these significant definitions, image processing and computational geometry techniques are employed to automatically identify body features from the torso cloud points. The body surface is divided into a series of rectangular patches using the feature lines as boundaries, we reconstructed the body with a minimal amo
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Deo, Dhanannjay. "Computerized Landmarking And Anthropometry Over Laser Scanned 3D Head And Face Surface Meshes." Thesis, 2006. https://etd.iisc.ac.in/handle/2005/341.

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Understanding of the shape and size of different features of human body from the scanned data is necessary for automated design and evaluation of product ergonomics. The traditional method of finding required body dimensions by manual measurements (Anthropometry) has many sociological, logistical and technical drawbacks such as prolonged time, skilled researcher for consistency and accuracy of measurements, undesirable physical contact between the subject and the researcher, required presence of people from different demographic categories or travel of researcher with equipments. If these di-
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Deo, Dhanannjay. "Computerized Landmarking And Anthropometry Over Laser Scanned 3D Head And Face Surface Meshes." Thesis, 2006. http://hdl.handle.net/2005/341.

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Understanding of the shape and size of different features of human body from the scanned data is necessary for automated design and evaluation of product ergonomics. The traditional method of finding required body dimensions by manual measurements (Anthropometry) has many sociological, logistical and technical drawbacks such as prolonged time, skilled researcher for consistency and accuracy of measurements, undesirable physical contact between the subject and the researcher, required presence of people from different demographic categories or travel of researcher with equipments. If these di- m
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Books on the topic "Anthropometric features"

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Nussbaumer, Linda L. Human Factors in the Built Environment. 3rd ed. Bloomsbury Publishing Inc, 2025. https://doi.org/10.5040/9798765104088.

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Human Factors in the Built Environment, Third Edition explains the relationship of the human body and space planning to the design process so that you can plan and detail interiors. Key topics include proxemics, anthropometrics, ergonomics, sensory components, diversity, global concerns, health and safety, environmental considerations, special populations, and universal (inclusive) design. The Third Edition also includes discussions around Covid regulations, bariatric applications, hybrid offices, empathic design, biophilia, and more. Recipient of the American Society of Interior Designers Joe
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Davidson, Michael. Invalid Modernism. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198832812.001.0001.

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Invalid Modernism contributes to an intersectional moment in disability studies by looking at aesthetics through non-conforming bodies and minds. It also offers an intersectional understanding of modernism by studying the representation of physical and cognitive difference during a period marked by progressive reforms in health, labor, and welfare. Readings of texts by Henry James, Samuel Beckett, Virginia Woolf, William Carlos Williams, James Joyce, Djuna Barnes, Oscar Wilde, F. T. Marinetti, Jean Toomer, an opera by Alexander Zemlinsky, and paintings and constructions of Dadaists and Surreal
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Book chapters on the topic "Anthropometric features"

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Sforza, Chiarella, Claudia Dellavia, Cristina Allievi, Davide G. Tommasi, and Virgilio F. Ferrario. "Anthropometric Indices of Facial Features in Down’s Syndrome Subjects." In Handbook of Anthropometry. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-1788-1_98.

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Prudencio, Alejandro, Eduardo Morales, Mario A. García, and Alejandro Lozano. "Anthropometric and Anthropomorphic Features Applied to a Mechanical Finger." In Intelligent Robotics and Applications. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13966-1_26.

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Volkova, Svetlana. "Methods of Localization of Some Anthropometric Features of Face." In Communications in Computer and Information Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26123-2_39.

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Ren, Shixin, Weiqun Wang, Zeng-Guang Hou, Xu Liang, Jiaxing Wang, and Liang Peng. "Anthropometric Features Based Gait Pattern Prediction Using Random Forest for Patient-Specific Gait Training." In Neural Information Processing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04212-7_2.

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Rychlik, Michal, Witold Stankiewicz, and Marek Morzynski. "Numerical Analysis of Geometrical Features of 3D Biological Objects, for Three-Dimensional Biometric and Anthropometric Database." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21663-3_12.

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Batista, Jorge P. "Locating Facial Features Using an Anthropometric Face Model for Determining the Gaze of Faces in Image Sequences." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74260-9_75.

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Sharma, Shubham, Jagjit Singh, and Sachin Kalsi. "Comparative Study to Evaluate the Effect of Vibration on Different Organs for Human Subjects of Different Anthropometric Features." In Latest Trends in Engineering and Technology. CRC Press, 2024. http://dx.doi.org/10.1201/9781032665443-89.

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Sohail, Abu Sayeed Md, and Prabir Bhattacharya. "Detection of Facial Feature Points Using Anthropometric Face Model." In Signal Processing for Image Enhancement and Multimedia Processing. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-72500-0_17.

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Alam, Mohd Mukhtar, Abid Ali Khan, and Mohd Farooq. "Correlation Between Anthropometry Dimensions and EMG Features During Endurance Task." In Design Science and Innovation. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9054-2_91.

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Wang, Dan, Yun Sheng, and GuiXu Zhang. "A New Female Body Segmentation and Feature Localisation Method for Image-Based Anthropometry." In MultiMedia Modeling. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05710-7_47.

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Conference papers on the topic "Anthropometric features"

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Dhabliya, Dharmesh, Aman Mittal, A. SenthilKumar, V. J. Vijayalakshmi, Miguel Ángel Hernández López, and T. R. Vijaya Lakshmi. "Clinical Diagnosis of Cardiac Diseases Using Anthropometric Features and Deep Learning." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724577.

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Shen, Yih-Liang, and Tai-Shi Chi. "Ensemble learning based head-related transfer function personalization using anthropometric features." In 2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). IEEE, 2024. https://doi.org/10.1109/apsipaasc63619.2025.10849164.

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Sengupta, Anirban, Aditya Anshul, and Vishal Chourasia. "HLS Based Hardware Watermarking Using IP Seller's Superimposed Facial Anthropometric Features." In 2024 IEEE International Symposium on Smart Electronic Systems (iSES). IEEE, 2024. https://doi.org/10.1109/ises63344.2024.00032.

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Zhang, Yu, Jianshan Peng, and Runhe Huang. "Identity Recognition through Anthropometric Feature Analysis of mmBody Data." In 2024 IEEE Smart World Congress (SWC). IEEE, 2024. https://doi.org/10.1109/swc62898.2024.00050.

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Wahidin, Samsul, Iskandar Hasanuddin, Mohd Iqbal, and Sri Rahmawati. "Redesigning Motorcycle Helmet Using Ergonomic Function Deployment (EFD) Method among University Students in Aceh Barat Regency." In International Conference on Experimental and Computational Mechanic in Engineering 2023. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-vdfr3p.

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Presently available motorcycle helmet designs in the market adhere primarily to the Indonesian National Standard (SNI) 2007, which dictates sizing based solely on inner circumference and height while disregarding anthropometric data. Based on the research findings, consumer preferences for helmet products indicate a prioritization sequence of technical characteristics, with the highest ranking as follows: “Helmet safety during usage” has a relationship value of 63% with a contribution value of 2.601; “Size” that accommodates the user has a relationship value of 62% with a contribution value of
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Tarnowski, Pawel, Marcin Kolodziej, Andrzej Majkowski, and Remigiusz Jan Rak. "Anthropometric facial features in emotion recognition." In 2018 19th International Conference "Computational Problems of Electrical Engineering" (CPEE). IEEE, 2018. http://dx.doi.org/10.1109/cpee.2018.8507135.

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Gunay, Asuman, and Vasif V. Nabiyev. "Automatic Detection of Anthropometric Features from Facial Images." In 2007 IEEE 15th Signal Processing and Communications Applications. IEEE, 2007. http://dx.doi.org/10.1109/siu.2007.4298656.

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SHU, Chang, Pengcheng XI, and Allan KEEFE. "Localizing Anthropometric Landmarks Using 3-D Surface Features." In 3DBODY.TECH 2019 - 10th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, 22-23 Oct. 2019. Hometrica Consulting - Dr. Nicola D'Apuzzo, 2019. http://dx.doi.org/10.15221/19.074.

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Tashev, Ivan. "HRTF phase synthesis via sparse representation of anthropometric features." In 2014 Information Theory and Applications Workshop (ITA). IEEE, 2014. http://dx.doi.org/10.1109/ita.2014.6804239.

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Bilinski, Piotr, Jens Ahrens, Mark R. P. Thomas, Ivan J. Tashev, and John C. Platt. "HRTF magnitude synthesis via sparse representation of anthropometric features." In ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2014. http://dx.doi.org/10.1109/icassp.2014.6854447.

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Reports on the topic "Anthropometric features"

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Whitestone, Jennifer J., Gregory F. Zehner, Daniel J. Mountjoy, Sherri U. Blackwell, and Mary E. Gross. Summary Statistics and HGU-55/P Feature Envelopes for the 1990 USAF Anthropometric Survey. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada412018.

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