{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T02:51:48Z","timestamp":1764557508763,"version":"build-2065373602"},"reference-count":42,"publisher":"MDPI AG","issue":"14","license":[{"start":{"date-parts":[[2019,7,14]],"date-time":"2019-07-14T00:00:00Z","timestamp":1563062400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"EU RFCS program","award":["793505"],"award-info":[{"award-number":["793505"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This paper aims to contribute to the field of ambient intelligence from the perspective of real environments, where noise levels in datasets are significant, by showing how machine learning techniques can contribute to the knowledge creation, by promoting software sensors. The created knowledge can be actionable to develop features helping to deal with problems related to minimally labelled datasets. A case study is presented and analysed, looking to infer high-level rules, which can help to anticipate abnormal activities, and potential benefits of the integration of these technologies are discussed in this context. The contribution also aims to analyse the usage of the models for the transfer of knowledge when different sensors with different settings contribute to the noise levels. Finally, based on the authors\u2019 experience, a framework proposal for creating valuable and aggregated knowledge is depicted.<\/jats:p>","DOI":"10.3390\/s19143113","type":"journal-article","created":{"date-parts":[[2019,7,15]],"date-time":"2019-07-15T04:55:27Z","timestamp":1563166527000},"page":"3113","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Non-Invasive Ambient Intelligence in Real Life: Dealing with Noisy Patterns to Help Older People"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3775-2906","authenticated-orcid":false,"given":"Miguel \u00c1ngel","family":"Ant\u00f3n","sequence":"first","affiliation":[{"name":"Tecnalia, Parque Cient\u00edfico y Tecnol\u00f3gico de Gipuzkoa, Mikeletegi Pasealekua, 2. 20009 San Sebasti\u00e1n, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9677-6764","authenticated-orcid":false,"given":"Joaqu\u00edn","family":"Ordieres-Mer\u00e9","sequence":"additional","affiliation":[{"name":"Escuela T\u00e9cnica Superior de Ingenieros Industrales, Universidad Polit\u00e9cnica de Madrid, Jos\u00e9 Guti\u00e9rrez Abascal 2, 28006 Madrid, Spain"},{"name":"i3-crg, \u00c9cole Politechnique, Route de Saclay, 91128 Palaiseau, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9239-5737","authenticated-orcid":false,"given":"Unai","family":"Saralegui","sequence":"additional","affiliation":[{"name":"Tecnalia, Parque Cient\u00edfico y Tecnol\u00f3gico de Gipuzkoa, Mikeletegi Pasealekua, 2. 20009 San Sebasti\u00e1n, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8790-7371","authenticated-orcid":false,"given":"Shengjing","family":"Sun","sequence":"additional","affiliation":[{"name":"Escuela T\u00e9cnica Superior de Ingenieros Industrales, Universidad Polit\u00e9cnica de Madrid, Jos\u00e9 Guti\u00e9rrez Abascal 2, 28006 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,7,14]]},"reference":[{"key":"ref_1","unstructured":"United Nations Department of Economic and Social Affairs (2017). 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