{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T12:59:25Z","timestamp":1777381165236,"version":"3.51.4"},"reference-count":0,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2012,9,1]],"date-time":"2012-09-01T00:00:00Z","timestamp":1346457600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Ambient Intelligence and Smart Environments"],"published-print":{"date-parts":[[2012,9]]},"abstract":"<jats:p>In Europe, in particular, growing numbers of elderly people need sustainable elderly care, which the young are not able to provide. As an alternative, elderly care can be provided through home-based, automatic, health-monitoring systems. Here we propose data-mining algorithms in a system for the automatic recognition of health problems, activities and falls through the analysis of gait. The gait of the elderly is captured using a motion-capture system and the resulting time series of position coordinates are analyzed with a data-mining approach in order to classify it into five health states: 1) normal, 2) with hemiplegia, 3) with Parkinson's disease, 4) with pain in the back and 5) with pain in the leg, or into five activities\/falls: 1) accidental fall, 2) unconscious fall, 3) walking, 4) standing\/sitting, 5) lying down\/lying. We propose and analyze four data-mining approaches: 1) CML \u2013 Classical machine-learning approach with raw sensor data, 2) SCML \u2013 Classical machine-learning approach with semantic attributes, 3) MDTW \u2013 Multidimensional dynamic time-warping approach with raw sensor data and 4) SMDTW \u2013 Multidimensional dynamic time-warping approach with semantic attributes. According to the results of the experiments, SMDTW achieved the highest classification accuracy of the four proposed approaches, and transforming the raw data into the semantic attributes significantly improved the performance of the approaches.<\/jats:p>\n                  <jats:p>Since the observed health problems are related also to postural instability and danger of falling, their early detection helps to prevent elderly people from falling.<\/jats:p>","DOI":"10.3233\/ais-2012-0166","type":"journal-article","created":{"date-parts":[[2019,11,29]],"date-time":"2019-11-29T18:05:35Z","timestamp":1575050735000},"page":"415-428","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":9,"title":["Home-based health monitoring of the elderly through gait recognition"],"prefix":"10.1177","volume":"4","author":[{"given":"Bogdan","family":"Pogorelc","sequence":"first","affiliation":[{"name":"Department of Intelligent Systems, Jo\u017eef Stefan Institute, Jamova cesta 39, 1000 Ljubljana, Slovenia"},{"name":"\u0160pica International d.o.o., Pot k sejmi\u0161\u010du 33, 1231 Ljubljana, Slovenia"},{"name":"Jo\u017eef Stefan International Postgraduate School, Jamova 39, 1000 Ljubljana, Slovenia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matja\u017e","family":"Gams","sequence":"additional","affiliation":[{"name":"Department of Intelligent Systems, Jo\u017eef Stefan Institute, Jamova cesta 39, 1000 Ljubljana, Slovenia"},{"name":"\u0160pica International d.o.o., Pot k sejmi\u0161\u010du 33, 1231 Ljubljana, Slovenia"},{"name":"Jo\u017eef Stefan International Postgraduate School, Jamova 39, 1000 Ljubljana, Slovenia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2012,9]]},"container-title":["Journal of Ambient Intelligence and Smart Environments"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/AIS-2012-0166","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/AIS-2012-0166","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T09:20:05Z","timestamp":1777368005000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/AIS-2012-0166"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,9]]},"references-count":0,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2012,9]]}},"alternative-id":["10.3233\/AIS-2012-0166"],"URL":"https:\/\/doi.org\/10.3233\/ais-2012-0166","relation":{},"ISSN":["1876-1364","1876-1372"],"issn-type":[{"value":"1876-1364","type":"print"},{"value":"1876-1372","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,9]]}}}