Unsupervised machine learning for developing personalised behaviour models using activity data
(2017)
Journal Article
Fiorini, L., Cavallo, F., Dario, P., Eavis, A., & Caleb-Solly, P. (2017). Unsupervised machine learning for developing personalised behaviour models using activity data. Sensors, 17(5), Article 1034. https://doi.org/10.3390/s17051034
© 2017 by the authors. Licensee MDPI, Basel, Switzerland. The goal of this study is to address two major issues that undermine the large scale deployment of smart home sensing solutions in people’s homes. These include the costs associated with havin... Read More about Unsupervised machine learning for developing personalised behaviour models using activity data.