A data-driven classification of 3D foot types by archetypal shapes based on landmarks
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Amelia Simó | Alfredo Ballester | Irene Epifanio | Aleix Alcacer | M Victoria Ibáñez | I. Epifanio | M. Ibáñez | A. Simó | Aleix Alcacer | A. Ballester
[1] K. Boudolos,et al. A footprint-based approach for the rational classification of foot types in young schoolchildren , 2006 .
[2] Myung Hwan Yun,et al. An anthropometric survey of Korean hand and hand shape types , 2016 .
[3] Giancarlo Ragozini,et al. Interval Archetypes: A New Tool for Interval Data Analysis , 2012, Stat. Anal. Data Min..
[4] Hylton B. Menz,et al. Foot shape of older people: implications for shoe design , 2010 .
[5] Jeffrey A. Hudson,et al. A Multivariate Anthropometric Method for Crew Station Design: Abridged , 1993 .
[6] Elisabetta Marini,et al. Somatotype in Alzheimer’s Disease , 2007, Gerontology.
[7] T. Okura,et al. Gender differences of foot characteristics in older Japanese adults using a 3D foot scanner , 2015, Journal of Foot and Ankle Research.
[8] William F. Moroney,et al. Empirical Reduction in Potential User Population as the Result of Imposed Multivariate Anthropometric Limits. , 1972 .
[9] Enrica Fubini,et al. INTERNATIONAL STANDARD ISO/TR 7250-2:“Basic human body measurements for technological design — Part 2: Statistical summaries of body measurements from national populations” , 2010 .
[10] Sandra Alemany,et al. Archetypoids: A new approach to define representative archetypal data , 2015, Comput. Stat. Data Anal..
[11] Eric Horvitz,et al. Clustering for set partitioning with a case study in ridesharing , 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).
[12] F. James Rohlf,et al. Efficacy of diffeomorphic surface matching and 3D geometric morphometrics for taxonomic discrimination of Early Pleistocene hominin mandibular molars. , 2019, Journal of human evolution.
[13] Amelia Simó,et al. Archetypal shapes based on landmarks and extension to handle missing data , 2018, Adv. Data Anal. Classif..
[14] Guillermo Vinué,et al. Anthropometry: An R Package for Analysis of Anthropometric Data , 2017 .
[15] Tyler Davis,et al. Memory for Category Information Is Idealized Through Contrast With Competing Options , 2010, Psychological science.
[16] Todd A. Hare,et al. A Common Mechanism Underlying Food Choice and Social Decisions , 2015, PLoS Comput. Biol..
[17] Gregory F. Zehner,et al. The USAF Multivariate Accommodation Method , 1998 .
[18] Ulf Brefeld,et al. Frame-based Data Factorizations , 2017, ICML.
[19] Sushma Jaswal,et al. Anthropometric Assessment of Nutritional Status of Primary School Girls (6-8 years) from Punjab , 2001 .
[20] Zoran Popovic,et al. The space of human body shapes: reconstruction and parameterization from range scans , 2003, ACM Trans. Graph..
[21] Simon Jobson,et al. The influence of somatotype on anaerobic performance , 2018, PloS one.
[22] Irene Epifanio,et al. Detection of Anomalies in Water Networks by Functional Data Analysis , 2018, Mathematical Problems in Engineering.
[23] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[24] P. Cavanagh,et al. Gender differences in adult foot shape: implications for shoe design. , 2001, Medicine and science in sports and exercise.
[25] Peter Ahnert,et al. Novel Anthropometry Based on 3D-Bodyscans Applied to a Large Population Based Cohort , 2016, PloS one.
[26] M Mochimaru,et al. Analysis of 3-D human foot forms using the Free Form Deformation method and its application in grading shoe lasts , 2000, Ergonomics.
[27] Lefteris Angelis,et al. A novel single-trial methodology for studying brain response variability based on archetypal analysis , 2015, Expert Syst. Appl..
[28] Valery Naranjo,et al. Automatic classification of human facial features based on their appearance , 2019, PloS one.
[29] Zaïd Harchaoui,et al. Fast and Robust Archetypal Analysis for Representation Learning , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[30] C. Ji. An Archetypal Analysis on , 2005 .
[31] Youlian Hong,et al. Gender differences in foot shape: a study of Chinese young adults , 2011, Sports biomechanics.
[32] T. Horstmann,et al. Sex-related differences in foot shape of adult Caucasians – a follow-up study focusing on long and short feet , 2011, Ergonomics.
[33] Giancarlo Ragozini,et al. On the use of archetypes as benchmarks , 2008 .
[34] F. Palumbo,et al. Archetypal analysis for data‐driven prototype identification , 2017, Stat. Anal. Data Min..
[35] I. Epifanio,et al. Forecasting basketball players' performance using sparse functional data , 2019, Stat. Anal. Data Min..
[36] CurlessBrian,et al. The space of human body shapes , 2003 .
[37] Norman MacLeod. The Direct Analysis of Digital Images (Eigenimage) with a Comment on the Use of Discriminant Analysis in Morphometrics , 2015 .
[38] Robert A. Walker,et al. Anthropometric Survey of U.S. Army Personnel: Summary Statistics, Interim Report for 1988 , 1989 .
[39] C. Maiwald,et al. Sex-related differences in foot shape , 2008, Ergonomics.
[40] Pasquale Poppa,et al. A new atlas for the evaluation of facial features: advantages, limits, and applicability , 2011, International Journal of Legal Medicine.
[41] Yu-Chi Lee,et al. Taiwanese adult foot shape classification using 3D scanning data , 2015, Ergonomics.
[42] Ameersing Luximon. Handbook of footwear design and manufacture , 2013 .
[43] Irene Epifanio,et al. Robust multivariate and functional archetypal analysis with application to financial time series analysis , 2018, Physica A: Statistical Mechanics and its Applications.
[44] Morten Mørup,et al. Archetypal analysis of diverse Pseudomonas aeruginosa transcriptomes reveals adaptation in cystic fibrosis airways , 2013, BMC Bioinformatics.
[45] Arzu Vuruskan,et al. Identification of female body shapes based on numerical evaluations , 2011 .
[46] Ya-Lih Lin,et al. Investigation of anthropometry basis grouping technique for subject classification , 1999 .
[47] Ravindra S. Goonetilleke,et al. Model based foot shape classification using 2D foot outlines , 2012, Comput. Aided Des..
[48] Anuj Srivastava,et al. Statistical Shape Analysis , 2014, Computer Vision, A Reference Guide.
[49] Francesco Amenta,et al. Gender and age related differences in foot morphology. , 2014, Maturitas.
[50] Lars Kai Hansen,et al. Archetypal analysis for machine learning , 2010, 2010 IEEE International Workshop on Machine Learning for Signal Processing.
[51] Manuel J. A. Eugster,et al. Performance Profiles based on Archetypal Athletes , 2012 .
[52] Kathleen M. Robinette,et al. User's Guide to the Anthropometric Database at the Computerized Anthropometric Research and Design (CARD) Laboratory. Second Edition , 1992 .
[53] M Koleva,et al. Somatotype and Disease Prevalence in Adults , 2002, Reviews on environmental health.
[54] Toralf Kirsten,et al. Body typing of children and adolescents using 3D-body scanning , 2017, PloS one.
[55] Gang Yang,et al. A Probabilistic Weighted Archetypal Analysis Method with Earth Mover's Distance for Endmember Extraction from Hyperspectral Imagery , 2017, Remote. Sens..
[56] Irene Epifanio,et al. Archetypoid analysis for sports analytics , 2017, Data Mining and Knowledge Discovery.
[57] Camila Aguirre,et al. Correction: The ArcAB two-component regulatory system promotes resistance to reactive oxygen species and systemic infection by Salmonella Typhimurium , 2019, PloS one.
[58] Mariusz Ozimek,et al. Somatotype, body composition, and physical fitness in artistic gymnasts depending on age and preferred event , 2019, PloS one.
[59] Kathleen M. Robinette,et al. An Alternative to Percentile Models , 1981 .
[60] Ravindra S. Goonetilleke,et al. The science of footwear , 2012 .
[61] George P Nassis,et al. Somatotype, size and body composition of competitive female volleyball players. , 2008, Journal of science and medicine in sport.
[62] S. P. Singh,et al. Somatotype and Disease – A Review , 2007 .
[63] Amelia Simó,et al. Archetypal Analysis With Missing Data: See All Samples by Looking at a Few Based on Extreme Profiles , 2020, The American Statistician.
[64] Sandra Alemany,et al. Archetypal analysis: Contributions for estimating boundary cases in multivariate accommodation problem , 2013, Comput. Ind. Eng..
[65] Jorgen A Wullems,et al. Reliability and validity of the international physical activity questionnaire compared to calibrated accelerometer cut-off points in the quantification of sedentary behaviour and physical activity in older adults , 2018, PloS one.
[66] Beatriz Nacher,et al. Anthropometric Survey of the Spanish Female Population Aimed at the Apparel Industry , 2010 .
[67] L. Alegre,et al. Foot morphology in Spanish school children according to sex and age , 2014, Ergonomics.
[68] Irene Epifanio,et al. ARCHETYPAL ANALYSIS: AN ALTERNATIVE TO CLUSTERING FOR UNSUPERVISED TEXTURE SEGMENTATION , 2019, Image Analysis & Stereology.
[69] Bruce Bradtmiller,et al. 3D Head Models for Protective Helmet Development , 2003 .
[70] Silvestar Sesnic,et al. Stochastic Collocation Applications in Computational Electromagnetics , 2018 .
[71] C McCollin. Applied stochastic models in business and industry , 2011 .
[72] Yuval Hart,et al. Geometry of the Gene Expression Space of Individual Cells , 2015, PLoS Comput. Biol..
[73] Andrea Cardini,et al. Leaf Morphology, Taxonomy and Geometric Morphometrics: A Simplified Protocol for Beginners , 2011, PloS one.
[74] Masaaki Mochimaru,et al. Errors in landmarking and the evaluation of the accuracy of traditional and 3D anthropometry. , 2011, Applied ergonomics.
[75] Igor Kononenko,et al. Weighted archetypal analysis of the multi-element graph for query-focused multi-document summarization , 2014, Expert Syst. Appl..
[76] Irene Epifanio,et al. Functional archetype and archetypoid analysis , 2016, Comput. Stat. Data Anal..
[77] Christian Burkhardt,et al. Quality Control of Motor Unit Number Index (MUNIX) Measurements in 6 Muscles in a Single-Subject “Round-Robin” Setup , 2016, PloS one.
[78] Elizabeth K Bye,et al. An analysis of apparel industry fit sessions , 2005 .
[79] Wol-Hee Do,et al. Classification of Elderly Women's Foot Type , 2014 .
[80] Theekapun Charoenpong,et al. Face shape classification from 3D human data by using SVM , 2014, The 7th 2014 Biomedical Engineering International Conference.
[81] Weiwei Sun,et al. Pure endmember extraction using robust kernel archetypoid analysis for hyperspectral imagery , 2017 .
[82] Morten Mørup,et al. Archetypal Analysis for Modeling Multisubject fMRI Data , 2016, IEEE Journal of Selected Topics in Signal Processing.
[83] Georgina Charlesworth,et al. Core outcome measures for interventions to prevent or slow the progress of dementia for people living with mild to moderate dementia: Systematic review and consensus recommendations , 2017, PloS one.
[84] Martin Friess. Multivariate Accommodation Models using Traditional and 3D Anthropometry , 2005 .