Evidence fusion for activity recognition using the Dempster-Shafer theory of evidence

被引：0
|
作者：
Liao, Jing [1 ]
Bi, Yaxin [1 ]
Nugent, Chris [1 ]
机构：
[1] Univ Ulster, Sch Comp & Math, Comp Sci Res Inst, Coleraine BT37 0QB, Londonderry, North Ireland
来源：
2009 9TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND APPLICATIONS IN BIOMEDICINE | 2009年
关键词：
activity recognition; smart homes; sensor fusion; reasoning under uncertainty;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper explores a sensor fusion method within Smart Homes to be used to monitor human activities in addition to managing uncertainty in sensor based readings. A case study has shown that the Dempster-Shafer theory of evidence can incorporate the uncertainty derived from the sensor errors and the sensor context and infer the activity. The results from this work show that this method can detect a toileting activity within a Smart Home environment with an accuracy of 69.4%.
引用
收藏
页码：182 / 185
页数：4
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