Human Behavior Drift Detection in a Smart Home Environment

被引：5
|
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.
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页码：199 / 203
页数：5
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