RT Journal Article
T1 Non-Invasive Ambient Intelligence in Real Life: Dealing with Noisy Patterns to Help Older People: 												Dealing with noisy patterns to help older people
A1 Antón, Miguel Ángel
A1 Ordieres-Meré, Joaquín
A1 Saralegui, Unai
A1 Sun, Shengjing
AB 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’ experience, a framework proposal for creating valuable and aggregated knowledge is depicted.
SN 1424-3210
YR 2019
FD 2019-07-02
LA eng
NO Antón , M Á , Ordieres-Meré , J , Saralegui , U & Sun , S 2019 , ' Non-Invasive Ambient Intelligence in Real Life: Dealing with Noisy Patterns to Help Older People : Dealing with noisy patterns to help older people ' , Sensors , vol. 19 , no. 14 , 3113 , pp. 3113 . https://doi.org/10.3390/s19143113
NO Publisher Copyright: © 2019 by the authors. Licensee MDPI, Basel, Switzerland.
DS TECNALIA Publications
RD 29 sept 2024