{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T01:51:23Z","timestamp":1760233883879,"version":"build-2065373602"},"reference-count":47,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2021,2,28]],"date-time":"2021-02-28T00:00:00Z","timestamp":1614470400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>The study of the human body and its movements is still a matter of great interest today. Most of these issues have as their fulcrum the study of the balance characteristics of the human body and the determination of its Centre of Mass. In sports, a lot of attention is paid to improving and analysing the athlete\u2019s performance. Almost all the techniques for determining the Centre of Mass make use of special sensors, which allow determining the physical magnitudes related to the different movements made by athletes. In this paper, a markerless method for determining the Centre of Mass of a subject has been studied, comparing it with a direct widely validated equipment such as the Wii Balance Board, which allows determining the coordinates of the Centre of Pressure. The Motion Capture technique was applied with the OpenPose software, a Computer Vision method boosted with the use of Convolution Neural Networks. Ten quasi-static analyses have been carried out. The results have shown an error of the Centre of Mass position, compared to that obtained from the Wii Balance Board, which has been considered acceptable given the complexity of the analysis. Furthermore, this method, despite the traditional methods based on the use of balances, can be used also for prediction of the vertical position of the Centre of Mass.<\/jats:p>","DOI":"10.3390\/sym13030401","type":"journal-article","created":{"date-parts":[[2021,2,28]],"date-time":"2021-02-28T20:43:32Z","timestamp":1614545012000},"page":"401","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Development of Machine Learning Algorithms for the Determination of the Centre of Mass"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9809-8434","authenticated-orcid":false,"given":"Danilo","family":"D\u2019Andrea","sequence":"first","affiliation":[{"name":"Department of Engineering, University of Messina, Contrada di Dio (S. Agata), 98166 Messina, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0304-4004","authenticated-orcid":false,"given":"Filippo","family":"Cucinotta","sequence":"additional","affiliation":[{"name":"Department of Engineering, University of Messina, Contrada di Dio (S. Agata), 98166 Messina, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8257-5534","authenticated-orcid":false,"given":"Flavio","family":"Farroni","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, University of Naples Federico II, via Claudio 21, 80125 Napoli, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0506-8720","authenticated-orcid":false,"given":"Giacomo","family":"Risitano","sequence":"additional","affiliation":[{"name":"Department of Engineering, University of Messina, Contrada di Dio (S. Agata), 98166 Messina, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9709-9638","authenticated-orcid":false,"given":"Dario","family":"Santonocito","sequence":"additional","affiliation":[{"name":"Department of Engineering, University of Messina, Contrada di Dio (S. Agata), 98166 Messina, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lorenzo","family":"Scappaticci","sequence":"additional","affiliation":[{"name":"Sustainability Engineering Department, Guglielmo Marconi University, via Plinio 44, 00193 Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,2,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1743-0003-3-4","article-title":"Gait analysis methods in rehabilitation","volume":"3","author":"Baker","year":"2006","journal-title":"J. Neuroeng. 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