智能家居环境中的人类行为漂移检测

Human Behavior Drift Detection in a Smart Home Environment.

作者信息

Masciadri Andrea, Trofimova Anna A, Matteucci Matteo, Salice Fabio

机构信息

Department of Electronics, Information and Bioengineering, Politecnico di Milano - via Anzani 42, 22100, Como, Italy.

出版信息

Stud Health Technol Inform. 2017;242:199-203.

PMID:28873799

Abstract

The proposed system aims at elderly people independent living by providing an early indicator of habits changes which might be relevant for a diagnosis of diseases. It relies on Hidden Markov Model to describe the behavior observing sensors data, while Likelihood Ratio Test gives the variation within different time periods.

摘要

所提出的系统旨在通过提供可能与疾病诊断相关的习惯变化早期指标，帮助老年人独立生活。它依靠隐马尔可夫模型来描述观察传感器数据时的行为，而似然比检验则给出不同时间段内的变化情况。