{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T10:42:19Z","timestamp":1784803339526,"version":"3.55.0"},"reference-count":47,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2017,2,11]],"date-time":"2017-02-11T00:00:00Z","timestamp":1486771200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The ageing of the population, and their increasing wish of living independently, are motivating the development of welfare and healthcare models. Existing approaches based on the direct heath-monitoring using body sensor networks (BSN) are precise and accurate. Nonetheless, their intrusiveness causes non-acceptance. New approaches seek the indirect monitoring through monitoring activities of daily living (ADLs), which proves to be a suitable solution. ADL monitoring systems use many heterogeneous sensors, are less intrusive, and are less expensive than BSN, however, the deployment and maintenance of wireless sensor networks (WSN) prevent them from a widespread acceptance. In this work, a novel technique to monitor the human activity, based on non-intrusive load monitoring (NILM), is presented. The proposal uses only smart meter data, which leads to minimum intrusiveness and a potential massive deployment at minimal cost. This could be the key to develop sustainable healthcare models for smart homes, capable of complying with the elderly people\u2019 demands. This study also uses the Dempster-Shafer theory to provide a daily score of normality with regard to the regular behavior. This approach has been evaluated using real datasets and, additionally, a benchmarking against a Gaussian mixture model approach is presented.<\/jats:p>","DOI":"10.3390\/s17020351","type":"journal-article","created":{"date-parts":[[2017,2,15]],"date-time":"2017-02-15T10:09:07Z","timestamp":1487153347000},"page":"351","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":60,"title":["Assessing Human Activity in Elderly People Using Non-Intrusive Load Monitoring"],"prefix":"10.3390","volume":"17","author":[{"given":"Jos\u00e9","family":"Alcal\u00e1","sequence":"first","affiliation":[{"name":"Electronics Department, University of Alcal\u00e1, Escuela Polit\u00e9cnica, Ctra. Madrid-Barcelona, Km. 33,600, 28871 Alcal\u00e1 de Henares, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1408-6039","authenticated-orcid":false,"given":"Jes\u00fas","family":"Ure\u00f1a","sequence":"additional","affiliation":[{"name":"Electronics Department, University of Alcal\u00e1, Escuela Polit\u00e9cnica, Ctra. Madrid-Barcelona, Km. 33,600, 28871 Alcal\u00e1 de Henares, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"\u00c1lvaro","family":"Hern\u00e1ndez","sequence":"additional","affiliation":[{"name":"Electronics Department, University of Alcal\u00e1, Escuela Polit\u00e9cnica, Ctra. Madrid-Barcelona, Km. 33,600, 28871 Alcal\u00e1 de Henares, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Gualda","sequence":"additional","affiliation":[{"name":"Electronics Department, University of Alcal\u00e1, Escuela Polit\u00e9cnica, Ctra. Madrid-Barcelona, Km. 33,600, 28871 Alcal\u00e1 de Henares, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2017,2,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1109\/MSP.2015.2503881","article-title":"Monitoring activities of daily living in smart homes","volume":"33","author":"Debes","year":"2016","journal-title":"IEEE Signal Process. Mag."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1007\/s10439-005-9068-2","article-title":"A review of approaches to mobility telemonitoring of the elderly in their living environment","volume":"34","author":"Scanaill","year":"2006","journal-title":"Ann. Biomed. Eng."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Ghamari, M., Janko, B., Sherratt, R.S., Harwin, W., Piechockic, R., and Soltanpur, C. (2016). A survey on wireless body area networks for ehealthcare systems in residential environments. 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