Human Behavior Drift Detection in a Smart Home Environment

被引：6

作者：

Masciadri, Andrea ^{[1
]}

Trofimova, Anna A. ^{[1
]}

Matteucci, Matteo ^{[1
]}

Salice, Fabio ^{[1
]}

机构：

[1] Politecn Milan, Dept Elect Informat & Bioengn, Via Anzani 42, I-22100 Como, Italy

来源：

HARNESSING THE POWER OF TECHNOLOGY TO IMPROVE LIVES | 2017年 / 242卷

关键词：

Behavioral drift detection; smart home; HMM; Likelihood ratio test;

D O I：

10.3233/978-1-61499-798-6-199

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：199 / 203

页数：5

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