{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,10]],"date-time":"2026-05-10T15:23:22Z","timestamp":1778426602274,"version":"3.51.4"},"reference-count":28,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2024,4,8]],"date-time":"2024-04-08T00:00:00Z","timestamp":1712534400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"KIOM (Korea Institute of Oriental Medicine)","award":["KSN2312022"],"award-info":[{"award-number":["KSN2312022"]}]},{"name":"KIOM (Korea Institute of Oriental Medicine)","award":["CRC 21011"],"award-info":[{"award-number":["CRC 21011"]}]},{"DOI":"10.13039\/501100014188","name":"Ministry of Science and ICT (MSIT)","doi-asserted-by":"publisher","award":["KSN2312022"],"award-info":[{"award-number":["KSN2312022"]}],"id":[{"id":"10.13039\/501100014188","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100014188","name":"Ministry of Science and ICT (MSIT)","doi-asserted-by":"publisher","award":["CRC 21011"],"award-info":[{"award-number":["CRC 21011"]}],"id":[{"id":"10.13039\/501100014188","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>A force plate is mainly used in biomechanics; it aims to measure the ground reaction force in a person\u2019s walking or standing position. In this study, a large-area force mat of the piezoresistance sensing type was developed, and a deep-learning-based weight measurement calibration method was applied to solve the problem in which measurements are not normalized because of physical limitations in hardware and signal processing. The test set was composed of the values measured at each point by weight and the value of the center of the pressure variable, and the measured value was predicted using a deep neural network (DNN) regression model. The calibration verification results show that the average weight errors range from a minimum of 0.06% to a maximum of 3.334%. This is simpler than the previous method, which directly measures the ratio of the resistance value to the measured weight of each sensor and derives an equation.<\/jats:p>","DOI":"10.3390\/s24072363","type":"journal-article","created":{"date-parts":[[2024,4,8]],"date-time":"2024-04-08T06:04:58Z","timestamp":1712556298000},"page":"2363","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Ground Force Precision Calibration Method for Customized Piezoresistance Sensing Flexible Force Measurement Mat"],"prefix":"10.3390","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2661-349X","authenticated-orcid":false,"given":"Jeong-Woo","family":"Seo","sequence":"first","affiliation":[{"name":"Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon 34504, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1011-6985","authenticated-orcid":false,"given":"Hyeonjong","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, CA 90095, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0408-5569","authenticated-orcid":false,"given":"Jaeuk U.","family":"Kim","sequence":"additional","affiliation":[{"name":"Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon 34504, Republic of Korea"},{"name":"Korean Convergence Medicine, University of Science and Technology, Daejeon 34054, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun-Hyeong","family":"Do","sequence":"additional","affiliation":[{"name":"Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon 34504, Republic of Korea"},{"name":"Korean Convergence Medicine, University of Science and Technology, Daejeon 34054, Republic of Korea"},{"name":"Open XR Platform Convergence Research Center, National Research Council of Science and Technology, Daejeon 34141, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6871-2635","authenticated-orcid":false,"given":"Junghyuk","family":"Ko","sequence":"additional","affiliation":[{"name":"Division of Mechanical Engineering, (National) Korea Maritime and Ocean University, Busan 49112, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,4,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"101191","DOI":"10.1016\/j.xcrp.2022.101191","article-title":"Integrated wearable smart sensor system for real-time multi-parameter respiration health monitoring","volume":"4","author":"Li","year":"2023","journal-title":"Cell Rep. 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