{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,17]],"date-time":"2026-10-17T09:49:32Z","timestamp":1792230572852,"version":"4.4.0"},"reference-count":49,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2020,12,29]],"date-time":"2020-12-29T00:00:00Z","timestamp":1609200000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52078153"],"award-info":[{"award-number":["52078153"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005046","name":"Natural Science Foundation of Heilongjiang Province","doi-asserted-by":"publisher","award":["LH2019E110"],"award-info":[{"award-number":["LH2019E110"]}],"id":[{"id":"10.13039\/501100005046","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJERPH"],"abstract":"<jats:p>With the increasing aging population in modern society, falls as well as fall-induced injuries in elderly people become one of the major public health problems. This study proposes a classification framework that uses floor vibrations to detect fall events as well as distinguish different fall postures. A scaled 3D-printed model with twelve fully adjustable joints that can simulate human body movement was built to generate human fall data. The mass proportion of a human body takes was carefully studied and was reflected in the model. Object drops, human falling tests were carried out and the vibration signature generated in the floor was recorded for analyses. Machine learning algorithms including K-means algorithm and K nearest neighbor algorithm were introduced in the classification process. Three classifiers (human walking versus human fall, human fall versus object drop, human falls from different postures) were developed in this study. Results showed that the three proposed classifiers can achieve the accuracy of 100, 85, and 91%. This paper developed a framework of using floor vibration to build the pattern recognition system in detecting human falls based on a machine learning approach.<\/jats:p>","DOI":"10.3390\/ijerph18010200","type":"journal-article","created":{"date-parts":[[2020,12,29]],"date-time":"2020-12-29T19:55:25Z","timestamp":1609271725000},"page":"200","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Feasibility of Using Floor Vibration to Detect Human Falls"],"prefix":"10.3390","volume":"18","author":[{"given":"Yu","family":"Shao","sequence":"first","affiliation":[{"name":"School of Architecture, Harbin Institute of Technology, Harbin 150001, China"},{"name":"Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science, Ministry of Industry and Information Technology, Harbin 150001, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinyue","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Architecture, Harbin Institute of Technology, Harbin 150001, China"},{"name":"Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science, Ministry of Industry and Information Technology, Harbin 150001, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenjie","family":"Song","sequence":"additional","affiliation":[{"name":"School of Architecture, Harbin Institute of Technology, Harbin 150001, China"},{"name":"Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science, Ministry of Industry and Information Technology, Harbin 150001, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sobia","family":"Ilyas","sequence":"additional","affiliation":[{"name":"School of Architecture, The University of Sheffield, Sheffield S10 2TN, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7701-5396","authenticated-orcid":false,"given":"Haibo","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Architecture, Harbin Institute of Technology, Harbin 150001, China"},{"name":"Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science, Ministry of Industry and Information Technology, Harbin 150001, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2218-001X","authenticated-orcid":false,"given":"Wen-Shao","family":"Chang","sequence":"additional","affiliation":[{"name":"School of Architecture, The University of Sheffield, Sheffield S10 2TN, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,12,29]]},"reference":[{"key":"ref_1","first-page":"28","article-title":"Can Europe afford to grow old","volume":"43","author":"Carone","year":"2006","journal-title":"Financ. 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