{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T16:45:19Z","timestamp":1777567519647,"version":"3.51.4"},"reference-count":21,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2024,2,20]],"date-time":"2024-02-20T00:00:00Z","timestamp":1708387200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"U.S. Marine Corps","award":["CS200041"],"award-info":[{"award-number":["CS200041"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Measuring human body dimensions is critical for many engineering and product design domains. Nonetheless, acquiring body dimension data for populations using typical anthropometric methods poses challenges due to the time-consuming nature of manual methods. The measurement process for three-dimensional (3D) whole-body scanning can be much faster, but 3D scanning typically requires subjects to change into tight-fitting clothing, which increases time and cost and introduces privacy concerns. To address these and other issues in current anthropometry techniques, a measurement system was developed based on portable, low-cost depth cameras. Point-cloud data from the sensors are fit using a model-based method, Inscribed Fitting, which finds the most likely body shape in the statistical body shape space and providing accurate estimates of body characteristics. To evaluate the system, 144 young adults were measured manually and with two levels of military ensembles using the system. The results showed that the prediction accuracy for the clothed scans remained at a similar level to the accuracy for the minimally clad scans. This approach will enable rapid measurement of clothed populations with reduced time compared to manual and typical scan-based methods.<\/jats:p>","DOI":"10.3390\/s24051350","type":"journal-article","created":{"date-parts":[[2024,2,20]],"date-time":"2024-02-20T04:04:14Z","timestamp":1708401854000},"page":"1350","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Efficient Model-Based Anthropometry under Clothing Using Low-Cost Depth Sensors"],"prefix":"10.3390","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5445-6826","authenticated-orcid":false,"given":"Byoung-Keon D.","family":"Park","sequence":"first","affiliation":[{"name":"Biosciences Group, University of Michigan Transportation Research Institute, Ann Arbor, MI 48109, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1315-2313","authenticated-orcid":false,"given":"Hayoung","family":"Jung","sequence":"additional","affiliation":[{"name":"Biosciences Group, University of Michigan Transportation Research Institute, Ann Arbor, MI 48109, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sheila M.","family":"Ebert","sequence":"additional","affiliation":[{"name":"Biosciences Group, University of Michigan Transportation Research Institute, Ann Arbor, MI 48109, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brian D.","family":"Corner","sequence":"additional","affiliation":[{"name":"Corner3d LLC, Bedford, VA 24523, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6650-0727","authenticated-orcid":false,"given":"Matthew P.","family":"Reed","sequence":"additional","affiliation":[{"name":"Biosciences Group, University of Michigan Transportation Research Institute, Ann Arbor, MI 48109, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,2,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"67281","DOI":"10.1109\/ACCESS.2021.3076595","article-title":"A Review of Body Measurement Using 3D Scanning","volume":"9","author":"Bartol","year":"2021","journal-title":"IEEE Access"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1057","DOI":"10.1080\/00140139.2022.2130440","article-title":"Anthropometric Dataset for the German Working-Age Population Using 3D Body Scans from a Regional Epidemiological Health Study and a Weighting Algorithm","volume":"66","author":"Bonin","year":"2023","journal-title":"Ergonomics"},{"key":"ref_3","unstructured":"Gordon, C.C., Blackwell, C.L., Bradtmiller, B., Parham, J.L., and Hotzman, J. (2013). 2010 Anthropometric Survey of U.S. Marine Corps Personnel: Methods and Summary Statistics, U.S. Army Natick Research, Development, and Engineering Center."},{"key":"ref_4","unstructured":"Gordon, C.C., Blackwell, C.L., Bradtmiller, B., Parham, J.L., Barrientos, P., Paquette, S.P., Corner, B.D., Carson, J.M., Venezia, J.C., and Rockwell, B.M. (2014). 2012 Anthropometric Survey of U.S. Army Personnel: Methods and Summary Statistics, U.S. Army Natick Research, Development, and Engineering Center. Technical Report NATICK\/TR-15\/007."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"102828","DOI":"10.1016\/j.ergon.2019.102828","article-title":"Traditional and 3D Scan Extracted Measurements of the Heads and Faces of Dutch Children","volume":"73","author":"Goto","year":"2019","journal-title":"Int. J. Ind. Ergon."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1016\/j.eswa.2007.07.008","article-title":"Automated Anthropometric Data Collection Using 3D Whole Body Scanners","volume":"35","author":"Lu","year":"2008","journal-title":"Exp. Syst. Appl."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1080\/00140139.2014.965754","article-title":"Child Body Shape Measurement Using Depth Cameras and a Statistical Body Shape Model","volume":"58","author":"Park","year":"2014","journal-title":"Ergonomics"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Robinette, K.M., Blackwell, S., Daanen, H., Boehmer, M., Fleming, S., Brill, T., Hoeferlin, D., and Burnsides, D. (2002). Civilian American and European Surface Anthropometry Resource (CAESAR), Wright-Patterson Air Force Base. Final Report, Volume 1. AFRL-HE-WP-TR-2002-0169.","DOI":"10.21236\/ADA406704"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Tsoli, A., Loper, M., and Black, M. (2014, January 24\u201326). Model-based Anthropometry: Predicting Measurements from 3D Human Scans in Multiple Poses. Proceedings of the 2014 IEEE Winter Conference on Applications of Computer Vision (WACV 2014), Steamboat Springs, CO, USA.","DOI":"10.1109\/WACV.2014.6836115"},{"key":"ref_10","unstructured":"Guan, P., Freifeld, O., and Black, M.J. (2010). Computer Vision\u2014ECCV 2010, Springer."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/j.cag.2009.03.026","article-title":"Estimating Body Shape of Dressed Humans","volume":"33","author":"Hasler","year":"2009","journal-title":"Comput. Graph."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"3793","DOI":"10.1109\/TII.2020.3016591","article-title":"Learning to Estimate the Body Shape under Clothing from a Single 3-D Scan","volume":"17","author":"Hu","year":"2021","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"276","DOI":"10.1016\/j.patcog.2017.02.018","article-title":"Building Statistical Shape Spaces for 3D Human Modeling","volume":"67","author":"Pishchulin","year":"2017","journal-title":"Pattern Recognit."},{"key":"ref_14","unstructured":"Yang, J., Franco, J.S., H\u00e9troy-Wheeler, F., and Wuhrer, S. (2016). Computer Vision\u2014ECCV 2016, Springer. Lecture Notes in Computer Science."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"3657","DOI":"10.1109\/TMM.2020.3029941","article-title":"Parametric Shape Estimation of Human Body Under Wide Clothing","volume":"23","author":"Lu","year":"2021","journal-title":"IEEE Trans. Multimed."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1007\/978-3-540-88688-4_2","article-title":"The Naked Truth: Estimating Body Shape Under Clothing","volume":"Volume 5303","author":"Black","year":"2008","journal-title":"Computer Vision\u2014ECCV 2008"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Zhang, C., Pujades, S., Black, M.J., and Pons-Moll, G. (2017, January 21\u201326). Detailed, Accurate, Human Shape Estimation from Clothed 3D Scan Sequences. Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, HI, USA.","DOI":"10.1109\/CVPR.2017.582"},{"key":"ref_18","unstructured":"Park, B.-K.D., Corner, B.D., Kearney, M., and Reed, M.P. (2016, January 15\u201317). Estimating Human Body Characteristics under Clothing Using a Statistical Body Shape Model. Proceedings of the 4th International Digital Human Modeling Conference, Montreal, QC, Canada."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1714","DOI":"10.1080\/00140139.2015.1033480","article-title":"Parametric Body Shape Model of Standing Children Ages 3 to 11 Years","volume":"58","author":"Park","year":"2015","journal-title":"Ergonomics"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1080\/10543400701329422","article-title":"Agreement between Methods of Measurement with Multiple Observations per Individual","volume":"17","author":"Bland","year":"2007","journal-title":"J. Biopharm. Stat."},{"key":"ref_21","unstructured":"(2018). 3-D Scanning Methodologies for Internationally Compatible Anthropometric Databases Part 1: Evaluation Protocol for Body Dimensions Extracted from 3-D Body Scans (Standard No. ISO-20685-1:2018)."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/24\/5\/1350\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T14:02:32Z","timestamp":1760104952000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/24\/5\/1350"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2,20]]},"references-count":21,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2024,3]]}},"alternative-id":["s24051350"],"URL":"https:\/\/doi.org\/10.3390\/s24051350","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2,20]]}}}