{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T04:10:10Z","timestamp":1751861410508,"version":"3.41.0"},"publisher-location":"Cham","reference-count":38,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030003524"},{"type":"electronic","value":"9783030003531"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-00353-1_28","type":"book-chapter","created":{"date-parts":[[2018,9,12]],"date-time":"2018-09-12T18:13:10Z","timestamp":1536775990000},"page":"309-319","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Automatic Calculation of Body Mass Index Using Digital Image Processing"],"prefix":"10.1007","author":[{"given":"Juan D. J.","family":"Amador","sequence":"first","affiliation":[]},{"given":"Josu\u00e9","family":"Espejel Cabrera","sequence":"additional","affiliation":[]},{"given":"Jared","family":"Cervantes","sequence":"additional","affiliation":[]},{"given":"Laura D.","family":"Jalili","sequence":"additional","affiliation":[]},{"given":"Jos\u00e9 S.","family":"Ruiz Castilla","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,9,13]]},"reference":[{"key":"28_CR1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.11591\/ijai.v4.i1.pp1-7","volume":"4","author":"H Bipemdu","year":"2015","unstructured":"Bipemdu, H., Hayfron-Acquah, J.B., Panford, J.K., Appiah, O.: Calculation of body mass index using image processing techniques. Int. J. Artif. Intell. Mech. 4, 1 (2015)","journal-title":"Int. J. Artif. Intell. Mech."},{"key":"28_CR2","unstructured":"Trefethen, N.: Calculate your new BMI. University of Oxford (2013)"},{"key":"28_CR3","volume-title":"Mathematical and Statistical Methods in Food Science and Technology","author":"G Ares","year":"2013","unstructured":"Ares, G.: Mathematical and Statistical Methods in Food Science and Technology. Wiley, Hoboken (2013)"},{"issue":"4","key":"28_CR4","first-page":"153","volume":"7","author":"M Mamat","year":"2013","unstructured":"Mamat, M., Deraman, S.K., Noor, N.M.M., Zulkifli, N.F.: Relationship between body mass index and healthy food with a balanced diet. Appl. Math. Sci. 7(4), 153\u2013159 (2013)","journal-title":"Appl. Math. Sci."},{"issue":"6","key":"28_CR5","first-page":"65","volume":"3","author":"B Wiam","year":"2014","unstructured":"Wiam, B., Abdesslam, B., Mohamed, L., Mohamed, D.: A mathematical model of overweight\/obesity in Morocco using human biomass. Int. J. Latest Res. Sci. Technol. 3(6), 65\u201367 (2014)","journal-title":"Int. J. Latest Res. Sci. Technol."},{"key":"28_CR6","doi-asserted-by":"publisher","first-page":"445","DOI":"10.3109\/17477160903568421","volume":"5","author":"MJ Duncan","year":"2010","unstructured":"Duncan, M.J., Nevill, A., Woodfield, L., Al-Nakeeb, Y.: The relationship between pedometer-determined physical activity, body mass index and lean body mass index in children. Int. J. Pediatr. Obes. 5, 445\u2013450 (2010)","journal-title":"Int. J. Pediatr. Obes."},{"key":"28_CR7","first-page":"33","volume":"2","author":"I Pontaga","year":"2011","unstructured":"Pontaga, I., Zidens, J.: Estimation of body mass index in team sports athletes. LASE J. Sport Sci. 2, 33\u201344 (2011)","journal-title":"LASE J. Sport Sci."},{"key":"28_CR8","doi-asserted-by":"publisher","first-page":"4","DOI":"10.4236\/ojepi.2013.31002","volume":"3","author":"DD Franz","year":"2013","unstructured":"Franz, D.D., Feresu, S.A.: The relationship between physical activity, body mass index, and academic performance and college-age students. Open J. Epidemiol. 3, 4\u201311 (2013)","journal-title":"Open J. Epidemiol."},{"issue":"2","key":"28_CR9","first-page":"81","volume":"7","author":"FM Mwangi","year":"2017","unstructured":"Mwangi, F.M., Rintaugu, E.G.: Physical activity and health related physical fitness attributes of staff university members in a Kenyan Public University. Int. J. Sports Sci. 7(2), 81\u201386 (2017)","journal-title":"Int. J. Sports Sci."},{"key":"28_CR10","unstructured":"Karnyanszky, T.M., Musuri, C., Karnyanszky, C.A.: Expert software for determination of Juvenil\u2019s people obesity. Annals Computer Sciencie Series 6: Tome 1 (2008)"},{"issue":"2013","key":"28_CR11","doi-asserted-by":"publisher","first-page":"392","DOI":"10.1016\/j.imavis.2013.03.001","volume":"31","author":"L Wen","year":"2013","unstructured":"Wen, L., Guo, G.: A computational approach to body mass index prediction from face images. Image Vis. Comput. 31(2013), 392\u2013400 (2013)","journal-title":"Image Vis. Comput."},{"issue":"2","key":"28_CR12","first-page":"8","volume":"6","author":"M Mardolkar","year":"2017","unstructured":"Mardolkar, M.: Body mass index (BMI) data analysis and classification. J. Comput. Sci. Inf. Technol. 6(2), 8\u201316 (2017)","journal-title":"J. Comput. Sci. Inf. Technol."},{"key":"28_CR13","doi-asserted-by":"crossref","unstructured":"Millard, L.A.C., Davies, N.M., Tilling, K., Gaunt, T.R., Smith, G.D.: Searching for the causal effects of BMI in over 300 000 individuals, using Mendelian randomization. bioRxiv preprint (2017). First posted online 19 Dec 2017","DOI":"10.1101\/236182"},{"issue":"5","key":"28_CR14","doi-asserted-by":"publisher","first-page":"366","DOI":"10.7763\/IJET.2016.V8.914","volume":"8","author":"NE Madariaga","year":"2016","unstructured":"Madariaga, N.E., Linsangan, N.B.: Application of artificial neural network and background subtraction for determining BMI in Android devices using Bluetooth. Int. J. Eng. Technol. 8(5), 366 (2016)","journal-title":"Int. J. Eng. Technol."},{"key":"28_CR15","doi-asserted-by":"publisher","unstructured":"Larsen, B.S., Winther, S., Buttcher, M., Nissen, L., Struijk, J., Samuel, S.: Correlations of first and second heart sounds with age, sex, and body mass index. IEEE Comput. Cardiol., 4 (2017). https:\/\/doi.org\/10.22489\/CinC.2017.141-408","DOI":"10.22489\/CinC.2017.141-408"},{"key":"28_CR16","doi-asserted-by":"publisher","unstructured":"Nahavandi, D., Abobakr, A., Haggag, H., Hossny, M., Nahavandi, S., Filippidis, D.: A skeleton-free kinect system for body mass index assessment using deep neural networks, pp. 1\u20136 (2017). https:\/\/doi.org\/10.1109\/SysEng.2017.8088252","DOI":"10.1109\/SysEng.2017.8088252"},{"issue":"6","key":"28_CR17","doi-asserted-by":"publisher","first-page":"2151","DOI":"10.1109\/TGRS.2010.2097268","volume":"49","author":"J Borges","year":"2011","unstructured":"Borges, J., Bioucas, D.J., Maral, A.: Bayesian hyperspectral image segmentation with a discriminative class learning. IEEE Trans. Geosci. Remote Sens. 49(6), 2151\u20132164 (2011)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"28_CR18","doi-asserted-by":"publisher","DOI":"10.1002\/9780470316870","volume-title":"Bayesian Theory","author":"J Bernardo","year":"1994","unstructured":"Bernardo, J., Smith, A.: Bayesian Theory. Wiley, Hoboken (1994)"},{"issue":"39","key":"28_CR19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"1","author":"A Dempster","year":"1977","unstructured":"Dempster, A., Laird, N., Rubin, D.: Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. 1(39), 1\u201338 (1977)","journal-title":"J. R. Stat. Soc."},{"key":"28_CR20","unstructured":"Ng, A.Y., Jordan, M.I.: On discriminative vs. generative classifiers: a comparison of logistic regression and naive Bayes. In: Advances in Neural Information Processing Systems 14, pp. 841\u2013848. MIT-Press (2002)"},{"key":"28_CR21","volume-title":"Artificial Intelligence: A Modern Approach","author":"S Russell","year":"2003","unstructured":"Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach, 2nd edn. Prentice Hall, Upper Saddle River (2003)","edition":"2"},{"issue":"6088","key":"28_CR22","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1038\/323533a0","volume":"323","author":"DE Rumelhart","year":"1986","unstructured":"Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learning representations by back-propagating errors. Nature 323(6088), 533\u2013536 (1986)","journal-title":"Nature"},{"key":"28_CR23","volume-title":"The Roots of Backpropagation. From Ordered Derivatives to Neural Networks and Political Forecasting","author":"PJ Werbos","year":"1994","unstructured":"Werbos, P.J.: The Roots of Backpropagation. From Ordered Derivatives to Neural Networks and Political Forecasting. Wiley, New York (1994)"},{"key":"28_CR24","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-3264-1","volume-title":"The Nature of Statistical Learning Theory","author":"V Vapnik","year":"1995","unstructured":"Vapnik, V.: The Nature of Statistical Learning Theory. Springer, New York (1995). https:\/\/doi.org\/10.1007\/978-1-4757-3264-1"},{"issue":"9","key":"28_CR25","doi-asserted-by":"publisher","first-page":"991","DOI":"10.1001\/jama.2016.10288","volume":"316","author":"Z Wang","year":"2016","unstructured":"Wang, Z.: Body mass index and all-cause mortality. JAMA 316(9), 991\u2013992 (2016)","journal-title":"JAMA"},{"key":"28_CR26","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.psyneuen.2015.12.012","volume":"65","author":"S Perera","year":"2016","unstructured":"Perera, S.: Body mass index is an important predictor for suicide: results from a systematic review and meta-analysis. Psychoneuroendocrinology 65, 76\u201383 (2016)","journal-title":"Psychoneuroendocrinology"},{"issue":"1","key":"28_CR27","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1123\/japa.2014-0169","volume":"24","author":"Alina Cohen","year":"2016","unstructured":"Cohen, A., Baker, J., Ardern, C.I.: Association between body mass index, physical activity, and health-related quality of life in Canadian adults. Hum. Kinet. J. 24(1) (2016)","journal-title":"Journal of Aging and Physical Activity"},{"issue":"5","key":"28_CR28","doi-asserted-by":"publisher","first-page":"866","DOI":"10.1007\/s10865-016-9756-4","volume":"39","author":"DS Curtis","year":"2016","unstructured":"Curtis, D.S., Fuller-Rowell, T.E., Doan, S.N., Zgierska, A.E., Ryff, C.D.: Racial and socioeconomic disparities in body mass index among college students: understanding the role of early life adversity. J. Behav. Med. 39(5), 866\u2013875 (2016)","journal-title":"J. Behav. Med."},{"key":"28_CR29","doi-asserted-by":"crossref","unstructured":"D. Nahavandi, A. Abobakr?, H. Haggag, M. Hossny, S. Nahavandi and D. Filippidis A Skeleton-Free Kinect System for Body Mass Index Assessment using Deep Neural Networks. IEEEXPLORE (2016)","DOI":"10.1109\/SysEng.2017.8088252"},{"key":"28_CR30","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-3216-7","volume-title":"Image Processing, Analysis and Machine Vision","author":"M Sonka","year":"1993","unstructured":"Sonka, M., Hlavac, V., Boyle, R.: Image Processing, Analysis and Machine Vision. Springer, Heidelberg (1993). https:\/\/doi.org\/10.1007\/978-1-4899-3216-7"},{"key":"28_CR31","volume-title":"Digital Image Processing Using MATLAB","author":"RC Gonzalez","year":"2010","unstructured":"Gonzalez, R.C., Woods, R.E.: Digital Image Processing Using MATLAB. Pearson, Upper Saddle River (2010)"},{"key":"28_CR32","volume-title":"Feature Extraction and Image Processing","author":"M Nixon","year":"2002","unstructured":"Nixon, M., Aguado, A.: Feature Extraction and Image Processing. Academic Press, Cambridge (2002)"},{"issue":"14","key":"28_CR33","doi-asserted-by":"publisher","first-page":"2284","DOI":"10.1016\/j.neucom.2011.03.007","volume":"74","author":"S Zhang","year":"2011","unstructured":"Zhang, S., Lei, Y.K.: Modified locally linear discriminant embedding for plant leaf recognition. Neurocomputing 74(14), 2284\u20132290 (2011)","journal-title":"Neurocomputing"},{"key":"28_CR34","first-page":"179","volume":"8","author":"MK Hu","year":"1962","unstructured":"Hu, M.K.: Visual pattern recognition by moment invariants. IRE Trans. Inform. Theory 8, 179\u2013187 (1962)","journal-title":"IRE Trans. Inform. Theory"},{"issue":"7","key":"28_CR35","doi-asserted-by":"publisher","first-page":"790","DOI":"10.1016\/j.cviu.2013.02.005","volume":"117","author":"R Hu","year":"2013","unstructured":"Hu, R., Collomosse, J.: A performance evaluation of gradient field HOG descriptor for sketch based image retrieval. Comput. Vis. Image Underst. 117(7), 790\u2013806 (2013)","journal-title":"Comput. Vis. Image Underst."},{"issue":"1","key":"28_CR36","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1016\/0031-3203(93)90098-H","volume":"26","author":"J Flusser","year":"1993","unstructured":"Flusser, J., Suk, T.: Pattern recognition by affine moment invariants. Pattern Recognit. 26(1), 167\u2013174 (1993)","journal-title":"Pattern Recognit."},{"key":"28_CR37","unstructured":"Yang, M., Kpalma, K., Ronsin, J.: A Survey of Shape Feature Extraction Techniques, Pattern Recognition Techniques. INTECH Open Access Publisher (2008)"},{"key":"28_CR38","doi-asserted-by":"publisher","first-page":"460","DOI":"10.1016\/j.neucom.2016.08.005","volume":"216","author":"N Liu","year":"2016","unstructured":"Liu, N., Kan, J.: Improved deep belief networks and multi-feature fusion for leaf identification. Neurocomputing 216, 460\u2013467 (2016). ISSN 0925-2312","journal-title":"Neurocomputing"}],"container-title":["Communications in Computer and Information Science","Applied Computer Sciences in Engineering"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-00353-1_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T03:44:45Z","timestamp":1751859885000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-00353-1_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030003524","9783030003531"],"references-count":38,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00353-1_28","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2018]]}}}